GPU Database — A Complete Introduction
What is a GPU Database?
A GPU database uses graphics processing units (GPUs) to perform database operations. A GPU is a programmable processor designed to quickly render high resolution images and video. Because GPUs can perform parallel operations on multiple sets of data, they are now commonly adopted for non-graphical uses. A GPU database uses GPU computation power to analyze massive amounts of information and return results in milliseconds.
A Brief History of GPU Databases
GPUs — graphics processing units — were originally built to process video graphics. It didn’t take long for enterprising people to realize that GPUs had massively parallel capabilities for analyzing volumes of data. GPUs have thousands of cores that can solve difficult computational problems with great speed.
The initial idea for a GPU database was to create an enhanced database operation by adding compute workloads to the graphics shaders of GPUs. When NVIDIA GPUs pioneered and launched CUDA in 2007, CUDA and GPU computing quickly took hold in HPC — high performance computing — and scientific workloads. After CUDA, the academic space started developing the first GPU-accelerated databases.
More recently, GPUs emerged as the primary enabler of deep learning. Commercial vendors building first-class compute and analytics on top of these GPUs have proliferated. OmniSci (now HEAVY.AI) launched the world’s first open source GPU database and SQL engine in 2017.
How Do GPU Databases Work?
GPU databases use standard drivers and SQL to query data. While on-premise deployments are good an option for large enterprises, most GPU database engines run in the cloud. Because an individual GPU contains so much computing power, scaling a GPU database simply requires adding more GPUs to a server rather than adding more servers. Up to 100TB of raw data can be stored and queried in a GPU database on a standard server.
GPUs greatly accelerate operations that can be parallelized. A GPU database can return complex queries in milliseconds even as the dataset grows to millions or billions of records. GPU SQL Databases query SQL natively for extraordinary increases in performance at the scale of Big Data.
GPU Database vs CPU Database
CPUs — central processing units — steadily became 30 to 40 percent faster every year into the early 2000s. Today, there continues to be 15 to 20 percent growth in CPU processing power per year. Yet CPUs are not keeping up with the explosive growth of data from multiple sources. CPUs contain only 2-8 cores per processor, and the tend to process data in series.
GPUs – graphics processing units — have a different architecture and processing paradigm than CPUs. This allows for more than 50 percent growth in performance each year, which gives GPUs an advantage in keeping up with today’s big data demands. GPU based databases achieve orders of magnitude speedups and price-performance gains over CPU-based analytic technologies.
A CPU server might have 10 to 30 very fast cores. But a GPU server can have as many as 40,000 cores. Individual CPU cores are faster and smarter than individual GPU cores, but the sheer number of GPU cores, and the massive amount of parallelism that they offer, more than makes up the difference.
The growth of GPU speed is exceeding the rate of data growth, which is why GPUs have promise to deliver next generation platforms for accelerating analytics at scale. GPUs are also vastly outstripping CPUs in terms of memory bandwidth.
Benefits of Accelerated Databases
Accelerated databases provide significant benefits compared to mainstream databases, especially when it comes to repetitive queries on massive amounts of data.
The power of accelerated databases makes it easier to work with extremely large data sets or extremely fast data streams from sources such as the Internet of Things, clickstreams and business transactions.
The superior compute power of GPUs give the GPU database a clear speed advantage for complex queries.
This is important when patterns and insights need to be discovered in real time, for immediate action.
Benefits of GPU-accelerated databases include:
- Light IT footprint: Thousands of GPU processing cores and high bandwidth memory can fit on a single card, which means a dozen GPU-accelerated servers can nearly match the performance of a CPU cluster with 1,000 servers.
- Innovation velocity: The rate of efficiency improvement in GPUs is twice that of CPUs.
- Analytic efficiency: The ability to process data in real time.
Bigger Data, Better Insights
Download this whitepaper to learn how HEAVY.AI harnesses the parallel processing power of GPUs to deliver the world’s fastest data queries and visualization.
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NVIDIA Showcases the Power of OmniSci (now HEAVY.AI) at GTC
We want to accelerate data scientists work, by giving them the instrument of their science, so they can accomplish their life’s work as quickly as possible.
— Jensen Huang CEO, NVIDIA
When to Use a GPU Database?
The ability to do real-time data exploration and ingest more data faster make analytical databases powered by GPUs attractive to data scientists and engineers working on machine learning algorithms. Speedy queries can reduce a data scientist’s wait time from hours to minutes — or even from minutes to milliseconds. This can also result in reduced IT costs and energy consumption.
Database acceleration is essential for visual analytics and machine learning support. A GPU database leverages supercomputing infrastructure to deliver SQL queries across billions of records in milliseconds. Beyond preparing sales or user reports, a GPU database can visualize high velocity data to help determine tactical decisions in real time.
What is an Open Source GPU Database?
Many databases are open source by design, which allows them to support a broad range of data analytics environments.
Open source designs for analytics databases include the following features:
- Connectors to simplify integration with the most popular open source frameworks.
- Drivers for Open Database Connectivity (ODBC) and Java Database Connectivity (JDBC) that enable seamless integration with existing visualization and business intelligence tools.
- APIs to enable bindings with commonly used programming languages.
GPU Database Use Cases
Telco Data Analytics — A major telco provider uses an HEAVY.AI GPU database to process billions of rows of telecommunication data in real time, which allows the carrier to monitor network performance and maintain its high standards of network reliability. Learn more about the future of telecom industry here.
Advertising — Simulmedia uses a GPU database to analyze billions of weekly television viewing records to inform advertising decisions.
Mobile Location Services — Skyhook, a mobile positioning and location provider, uses a GPU database to help run up to 10 billion transactions daily as it leverages Wi-Fi, cellular and other sensor data to refine user and device locations.
Research — The Spatiotemporal Innovation Center uses a GPU database to advance spatiotemporal thinking, computing and engineering. From disaster response to energy sustainability, solving global challenges requires an understanding of how phenomena are linked in space and time.
Which Technologies Interconnect With GPU Analytics?
GPU databases solve many of the scale, speed and interactivity limitations of earlier analytic tools, but they do not require a complete replacement of other databases, BI or GIS analysis systems. In fact, the open source nature of the HeavyDB analytic database make it easy to integrate into existing ecosystems, in ways like the following:
- As hyper-fast SQL engine to accelerate existing analytic processes.
- For real-time visualization of streaming data.
- To build custom apps and visualizations that benefit from server side rendering.
- To improve performance of traditional business intelligence platforms.
- To help data scientists visually explore large datasets for feature engineering and training of machine learning models, or
- Leveraging the open source Apache Arrow framework move data through an end-to-end data science workflow, across many technologies, with the lowest amount of latency.
History of GPUs
1950s — MIT built a Navy flight simulator called the Whirlwind in 1951 that attempted 3D virtualization by displaying real-time text and graphics on a video terminal for the first time. It also pioneered the use magnetic-core memory to make digital computing more possible.
1970s — The first 3D graphics system was created to carry information from a central processor to a display screen. RCA built a video chip called the Pixie in 1976, which output a video signal. The graphics hardware for the Namco Galazian arcade system in 1979 supported RGB color and tilemap backgrounds.
1980s — IBM displayed video in its PCs in 1981.
Intel’s Video Graphics Controller Multimodule Board could display eight colors in 1983. ATI Technologies was created in 1985, which featured the Wonder line of graphics boards.
1990s — Application programming interfaces (APIs) significantly improved the level of integration of video cards. By 1997, NVIDIA held 25 percent of the graphics market. The modern GPU was created in 1995 with the the first 3D add-in cards. The advent of 32-bit operating systems and lower cost personal computers helped enterprises move beyond 2D and non-PC architectures. NVIDIA announced “the world’s first GPU” in 1999 with the launch of GeForce 256.
2000s — ATI and NVIDIA competed to add more features to their graphics cards. Nvidia released CUDA in 2007, which became a widely adopted programming model for GPU computing. HEAVY.AI launched the world’s first open source GPU database and SQL engine in 2017.
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Graphics Card Database | UnbxTech
Intel Arc A750 Specifications
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OverviewManufacturerIntelModel NameA750MSRP$289 USDCurrent PriceAmazon / NeweggRelease DateOctober 2022
Graphics Processing UnitMicro-ArchitectureXe HPGModel No.ACM-G10 (DG2-512)Fabrication NodeTSMC 6 nmXe Cores28Shading Units3584Texture Mapping Units224Render Output Units112Ray Tracing Units28Execution Units448
Memory SpecificationsMemory Size8 GBMemory TypeGDDR6Memory Bus256-bitMemory Bandwidth512 GB/s
Clock SpeedsBase Clock2050…
Read more
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OverviewManufacturerASRockModel NameA380 CLI 6GOMSRP$139.
99 USDCurrent PriceAmazon / NeweggRelease DateAugust 2022
Graphics Processing UnitMicro-ArchitectureXe HPGModel No.ACM-G11 (DG2-128)Fabrication NodeTSMC 6 nmXe Cores8Shading Units1024Texture Mapping Units64Render Output Units32Ray Tracing Units8Execution Units128
Memory SpecificationsMemory Size6 GBMemory TypeGDDR6Memory Bus96-bitMemory Bandwidth286 GB/s
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Solved: «Warning; Unrecognized Video Card. Your video card not found in our database.
June 2021
My computer recently updated its AMD Radeon R7 200 Series graphics and when I try playing my game I get this message: «Warning; Unrecognized Video Card. Your video card was not found in our database. Your graphics settings have been set as high as possible, but you may wish to reduce them if you are experiencing poor performance.» I read something about editing my graphic control panel.
I don’t know how to do that so can someone help? I think something called fps/frame rate can ruin my game…..
Hero
July 2021
@esperelda If you installed via disc but then Origin patched the game to 1.69, you’d need to use TS3.exe, and if you’re still on patch 1.67, you’d need to use TS3W.exe. You can see the patch level in the launcher, or you can see which .exe the game uses through the Task Manager. Or you can add both TS3.exe and TS3W.exe and set the limit to 60 for each one. It doesn’t really matter; you’ll get to the same place regardless. And yes, the files that end in .exe are executables.
If you double-click on an .exe, it should be added to RTSS, and then you can set the fps limit for that .exe.
Hero
June 2021
@esperelda The unrecognized card error means exactly what it says: Sims 3 has a database of graphics cards, and your card’s ID is not listed.
This by itself isn’t a problem: the database determines what settings profile to apply, and you can change most of those settings yourself. It has nothing to do with framerates.
If you’d like to get the card recognized though, please go into Documents\Electronic Arts\The Sims 3, open deviceconfig.log, copy the lines between «Graphics device info» (about 25 lines down) and «Options» (about 40 lines down), and paste it here. That will give me the card’s device ID so I know what you’d need to add to the game’s database.
Framerates, or fps (frames per second), is a measurement of how many frames (still images) your graphics card is rendering every second. Without a manual cap, a graphics card can overwork itself running at close to 100% load, but this isn’t really a problem unless your card is overheating. High-end cards can also generate far too many frames in general, which isn’t good for them either, but an R7 200 series won’t have that issue. Regardless, the solution is to manually cap fps, which can be accomplished with a few different tools.
If you’d like to see your in-game framerates, open the cheats console (crtl-shift-C) and enter «fps on» without quotes. A number will appear in the upper right corner. Please let me know how that number behaves, both its average and how much it fluctuates.
June 2021
Hi @puzzlezaddict here it is:
=== Graphics device info ===
Number: 0
Name (driver): Microsoft Basic Render Driver
Name (database): Microsoft Basic Render Driver [Found: 0, Matched: 0]
Vendor:
Chipset: Vendor: 1414, Device: 008c, Board: 00000000, Chipset: 0000
Driver: d3d10warp.dll, Version: 10.0.19041.546, GUID: D7B71AF4-43CC-11CF-9261-616AAFC2C735
Driver version: 546
Monitor: \\.\DISPLAY9
Texture memory: 2024MB
Vertex program: 3.0
Pixel program: 3.0
Hardware TnL: 1
=== Options ===
Hero
June 2021
@esperelda The deviceconfig lists only the Microsoft Basic Display driver, the default when no other driver is found.
So either your computer doesn’t currently have a graphics driver installed, or the driver that is present is crashing before Sims 3 can pick it up. Either way, that needs to be addressed before you do anything else.
Please run a dxdiag and attach it to a post, so I can see whether your computer currently has a graphics driver and which one you’d need to install.
https://help.ea.com/en-us/help/pc/how-to-gather-dxdiag-information/
June 2021
It is attached and hope you can open.
Hero
June 2021
@esperelda Your computer does in fact have a driver installed, but the driver support software is crashing, which is probably why Sims 3 isn’t using the driver. Please start with a couple of basic checks of your Windows system files:
- Hit Windows key-X
- Choose either “PowerShell (Administrator)” or “Command prompt (Administrator),” whichever option is offered
- Inside the window that appears, copy and paste “DISM.
exe /Online /Cleanup-image /Restorehealth” without quotes into the window, and enter - The system will start validating soon. If it throws an error, please list it here
- After it reaches 100%, hit Windows key-X again
- Again, choose “PowerShell (Administrator)” or “Command prompt (Administrator)”
- Inside the window, copy and paste “sfc /scannow” without quotes into the window, and enter
- Post the message you receive here
If sfc reports it found corrupt files and was unable to repair some of them, please stop here and let me know. Otherwise, restart your computer, hit Windows key-i, select Update & Security, and click the button to check for updates. If anything installs, restart again when it’s done.
The next step is a clean uninstall of the graphics driver, but here I think it’s best to let Windows install one for you rather than installing one manually. Download Display Driver Uninstaller from here:
https://www.
wagnardsoft.com/forums/viewtopic.php?f=5&t=3513
Next, take your computer completely offline—disable wifi and/or pull the ethernet cord—and double-click the DDU.exe. Take note of where the file will land, and click Extract. If it’s easier, you can copy the path and then paste it into the address bar in a File Explorer window. Open the folder and then launch Display Driver Uninstaller.exe, and you’ll get a message that you’re not in Safe Mode. Click OK, then go to Options and enable Safe Mode dialog. Here’s a screenshot of what your options should look like; make sure the box in red is checked:
Close options, and the DDU, and then open the DDU.exe again. For launch options, choose «Safe Mode (Recommended),» and then click Reboot to Safe Mode (you’ll need your password, so find it before rebooting). Once you login, you’ll see this:
In the blue box, choose GPU, then AMD if it’s not already showing. Then click Clean and Restart (red box).
Once your computer has rebooted, now back in normal mode, go back online, and Windows should find a driver for you. If that doesn’t happen, go here:
https://www.amd.com/en/support
Download the auto-detect tool, and let AMD select a driver. Either way, restart your computer when the driver is installed.
After you launch Sims 3, please provide the same section of deviceconfig: the file refreshes each time you load the game, so it will show whether your GPU and driver are being used properly.
June 2021
I think you want me to post the message after typing «sfc /scannow» so I took a pic and attached (it wouldn’t seem to let me copy and paste) Now to continue with restarting the computer then Windows key — i, Update & Security. I’m nervous about the rest of the instructions because I don’t know what I’m doing lol with the driver uninstaller but…..fingers crossed.
June 2021
I followed all instructions. Here is device config info:
=== Graphics device info ===
Number: 0
Name (driver): AMD Radeon R7 200 Series
Name (database): AMD Radeon HD 7700 Series [Found: 1, Matched: 1]
Vendor: ATI
Chipset: Vendor: 1002, Device: 683d, Board: e214174b, Chipset: 0000
Driver: aticfx32.dll, Version: 27.20.21003.8013, GUID: D7B71EE2-2B7D-11CF-B66B-1F90BBC2D635
Driver version: 8013
Monitor: \\.\DISPLAY1
Texture memory: 3024MB
Vertex program: 3.0
Pixel program: 3.0
Hardware TnL: 1
=== Options ===
Since I have to work around my work schedule I only played the game a couple times for about 10 minutes each time but seeing the fps number in the upper right hand corner after typing in ctrl shft command but I’ll keep trying. So far my game seems to be playing okay. I’ll play more on next day off work.
June 2021
I meant that I’m «not» seeing the fps number.
Hero
June 2021
@esperelda When you type «fps on» and enter, does the cheat console close? If the command is unrecognized, you should see an error message to that effect.
If the cheat console isn’t appearing at all, the issue may be AMD’s graphics software: it often uses crtl-shift-C for a different function. One way around this is to click Windows key-crtl-shift-C; another is to change the key binding for the other function. Let me know if you need help with this.
The alternate approach is to enable an fps counter within Origin, that is if you play through Origin. Hover over your username, select Application Settings, then the Origin in-game header, and select a corner of your screen for the fps counter. This won’t go away until you quit the game and change the Origin settings.
Specifications. Part one. Video card database
28 December 2006, Thursday
05:19
blog_user_Qtality
[
]
for section
Blogs
Have you ever had to search for information on video cards? What are the characteristics of this or that chip, what memory is installed on this or that version of the video card, etc.
? And I had to. Well, at least tables of comparative characteristics periodically appeared on the sites. If not for them, then I don’t even know where all the necessary data could have been found then.
Only such databases had several drawbacks:
1. The tables were in the articles, which sometimes take a long time to find.
2. It is impossible to compare video cards of interest.
Which way out of this? You just need to make a fairly convenient and flexible online database, which can be accessed from anywhere on the site. Why did no one guess before, and if they did, where is the result?
Well, it’s said and done. Team
Overclockers.com.ua brought to life
an online video card database where you can view the main characteristics of video cards (so far only ATI and nVidia) and, if necessary, compare them with each other.
Of course, we still have work to do, but this is our first step to take. And we made it. True, all this merit is not ours, we simply led to what we always wanted to see.
This is the merit of the people who collected these characteristics and brought them into proper form, for which many thanks to them!
But I don’t think we should stop there. In the future, create databases, both for processors and for motherboards, RAM, hard drives, drives and other hardware. The amount of work is enormous, isn’t it? But someone has to do it. Moreover, all this data will sooner or later help people, as tables once helped us.
If you are interested in discussing problems, additions to the database, then you
here.
If you want to make a remark to me, then
here.
Subscribe to our channel in Yandex.Zen or telegram channel @overclockers_news — these are convenient ways to follow new materials on the site. With pictures, extended descriptions and no ads.
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For several years now, many companies’ data centers have been running GPU-accelerated computing.
Our company is now studying this issue, as this type of computing is becoming more and more in demand. For example, GPU-accelerated computing can (and should) be used to accelerate resource-intensive applications built to work in areas such as deep learning, analytics, and design. This method is used in data centers of large companies, laboratories, research organizations, and enterprises.
Thanks to GPU acceleration, many services run that provide neural networks or process data from smart cars. The advantage of this method is that the resource-intensive part of the application, which requires a lot of computing power, is processed on the GPU, and everything else is performed on the CPU. In the past few years, hybrid solutions have begun to appear, on the basis of which high-speed databases are created. Such solutions should be used, for example, to visualize large data sets.
We are considering the possibility of launching a similar service at home, so we studied the issue in some detail.
We have selected several solutions that we would like to use. Not all of them are open, but the possibilities are encouraging.
Map-D
The name of this project means «massively parallel database». It can be used to visualize huge amounts of data. For example, to track the movement of an influenza outbreak in near real time.
Using Map-D, you can also build a map of messages about various disasters. All this is done in just a few milliseconds, provided there is a ready-made array of primary data.
Map-D is a platform that has been around for a few years and has continued to evolve ever since. With its help, you can analyze large data sets, which uses the power of GPU parallel computing. This speeds up the analysis of data arrays by 70-1000 times, depending on the type of data itself.
The service database is integrated into the memory of a large number of GPUs and individual clusters. It allows you to process billions of base points with almost instantaneous output of analysis results in a graphical form.
According to the creators of the project, the SQL database can be processed by Map-D with great speed.
Kinetica
Literally this month, another interesting project was updated, which is called Kinetica. The principle of its operation is approximately the same as in the previous case. It is proposed to use the solution in cases where you need to work with huge amounts of data that you want to visualize. Data is processed «on the fly» with a quick conclusion of an objective picture of the results.
Previously, the company was called GPUdb, which already hinted at its relation to databases. The solution is positioned as a help to corporations. That is why there is support for standard commercial functions like SQL-92 queries, clustering, one-click installation and more.
According to the developers, using a GPU means running 4000+ cores per device, versus 8-32 cores in the case of using a CPU. Kinetica includes a native rendering engine plus third party plugins.
All this, according to the creators of the platform, allows you to get a hundredfold increase in performance compared to the CPU.
BlazingDB
This is a rather specific project that is positioned as a solution for companies working with PostgreSQL, MySQL or Amazon Redshift. The developers promise multiple performance gains for all these products.
The key difference between the platform and other solutions is the offer of on-premises and cloud instances from third-party developers. If you already have data in Amazon or Azure, you can add BlazingDB and compare performance gains.
Previously, the company was a non-profit, and only since June, the developers began to try to monetize the service. BlazingDB requires the Nvidia CUDA driver for Linux. Unfortunately, the only platform currently supported is Ubuntu 14.04.
Blazegraph
Not all databases are SQL systems. Some of them are optimized for specific data manipulation tasks.
For example, to work with graphs, where the relationship of individual objects is analyzed with the visualization of the information obtained after the analysis.
Such work requires resources, and GPU-based computing is just what you need. One of the platforms «sharpened» for performing such tasks is Blazegraph. Note that this is an open-source solution written in Java with two methods to speed up GPU-based computing.
Developers say that Blazegraph provides 200-300 times performance improvement compared to CPU-based solutions. Actually, the first solution is to use the GPU for computing.
The second option is to simply rewrite your resource intensive application using Blazegraph DASL. It is a language designed to enable parallel operations on the GPU. “Using Spark with CUDA and GPU speeds up the execution of many applications by 1000 times when compared to running the same applications on the CPU,” the developers say.
PGStrom
It is a popular open-source PostgreSQL database that has many positives.
Firstly, this database is scalable, supports NoSQL/JSON and some other features.
Interestingly, it does not support GPU acceleration out of the box. In order to get this feature, you need to use a third party project called PGStrom. When a request is received, PG-Strom determines if the request can be executed by the GPU. If so, a GPU-optimized version of the query is created. The result is a redirect and execution of the request from the GPU.
Setting up PG-Strom is a lot of work. It requires the Nvidi CUDA toolkit and must be compiled from source when. But once PG-Strom is integrated into PostgreSQL, it starts working without having to rewrite anything for GPU use.
News on the topic “New utility will destroy mining restrictions for NVIDIA cards” — NVIDIA WORLD
Videocardz website announced the development of a new Nvidia RTX LHR v2 Unlocker utility, which was created by a certain Sergey. This as-yet-unreleased BIOS modification tool will fully unlock the mining performance of RTX 30 and RTX Ampere workstation graphics cards.
NVIDIA has updated its line of Ampere graphics cards with the LHR series, which is designed to reduce interest in products from miners. However, the NBMiner tool offers the opportunity to reduce the impact of the company’s restrictions by increasing the productivity of cryptocurrency mining by 70%.
The new version of the NBMiner utility allows you to remove hashrate restrictions on NVIDIA cards. In fact, we are not talking about circumventing restrictions. The utility rather provides the ability to adjust some values to improve performance.
It is noted that with the right settings, the performance of a limited LHR card can be increased by 68% when mining Ethereum.
Every NVIDIA video card currently in production, except for the GeForce RTX 3090, has a mining performance limit, and it seems that the effectiveness of this limitation is not very high.
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TechPowerUp updated the GPU-Z utility to version 2.
41.0, which received support for the Windows 11 operating system, including the ability to report that the driver supports the WDDM 3.0 standard.
In addition, the utility that provides detailed data about the video card and its modes of operation has received an expansion of the database with new video cards from both AMD and NVIDIA.
GPU-Z 2.41.0
Changes in GPU-Z 2.41.0 are listed below:
- Windows 11 detection added.
- Improved TMU prediction for unknown (future) NVIDIA GPUs.
- Improved frequency reporting on AMD RDNA2 professional cards.
- The installer does not add a version number to the program manager, which improves support for Winget.
- Always displays advertised Navi frequencies in the advanced panel, even if some report 0.
- Fixed «Reading BIOS is not supported on this device» error on some laptops with NVIDIA dGPUs.
- Fixed «Browse» button on ASUS ROG version with non-standard DPI settings.
- Updated Chinese translation.
- Fixed frequency calculation on old ATI Radeon DDR / 7200 DDR cards).
- Added transistor count and core size to AMD Cezanne and ATI R100 & RV100.
- Added support for AMD Radeon RX 6600 XT, Pro W6800, W6600, Radeon HD 7660G (AMD R-464L APU).
- Added support for NVIDIA CMP 90HX, 50HX, 40HX, 30HX, T1000, T400, A100-SXM-80 GB, A10, A5000, A4000, A3000, A2000, RTX 3050 Mobile Series (GA107-B).
You can download GPU-Z v2.41.0 on our website.
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Version 2.9.0 received a number of fixes to stabilize the utility in Windows 10 April 2018 Update, including the new WDDM 2.4 driver model. Also added support for NVIDIA Tesla V100 and support for NVIDIA GPUs in TCC mode (Tesla and Quadro families). The hardware base of the utility has been slightly expanded.
GPU-Z 2.9.0
The list of changes includes:
- Fixed empty or incorrect reading of NVIDIA GPU in TCC mode (Quadro/Tesla).
- Added support for WDDM 2.4 for Windows 10 RS4 / April Update / Spring Creators Update.
- Added support for NVIDIA Tesla V100.
- Added support for Haswell GT1 in Celeron 2961Y.
- Added support for HBM2 memory in the Advanced panel, NVIDIA BIOS.
- Added support for «none» constraint reason (Tesla in TCC mode).
- More Bristol Ridge models added.
- AMD Carrizo/Bristol/Stoney detection fixed.
- Fixed Wani name to Carrizo/Bristol.
- Fixed DirectX support report in ATI RV200.
- Frequency and temperature sensors (Clock and Hot Spot) in SoC Vega are now disabled by default (at the request of AMD). You can turn them on in the settings at any time.
- When booting GPU-Z with Windows, the «This file was downloaded from the Internet» message is disabled.
- Fixed top right button distortion when resizing a window.
- Improved code for drawing sensor graphs.
You can download the free GPU-Z utility from our website.
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The new version of the program contains information about newly released video cards, and some errors have been fixed.
Full changelog for GPU-Z 2.5.0 includes:
- Added driver release dates and WHQL status as line items.
- Update data button added.
- The BIOS version is now always written in capital letters.
- Changed the name ForceWare to NVIDIA in the driver version.
- Changed NVIDIA NVFlash to save BIOS.
- Added support for NVIDIA GTX 1070 Ti, GTX 1050 Ti Mobile (GP106), NVIDIA Quadro GP100, Quadro M620.
- Added support for Intel UHD Graphics 620.
- Added support for AMD RX Vega 64 Liquid, FirePro M4150.
- Added monitoring of Vega SOC Clock, VR SOC and VR Mem.
- Added support for WDDM 2.3.
- Fixed a GPU-Z crash when trying to display an error message on BIOS boot failure.
You can download the free GPU-Z utility from our website.
FireProVideoBIOSvideo cardsRX Vega 64IntelNVIDIAQuadroRadeonGeForce GTX 1070 Ti1050 Ti MobileGPU-Zutilities
has released an update to its incredibly powerful and popular information and test utility AIDA64, which has received the number 6.75.
The company also began to release two new products under the similar AIDA64 Network Audit 6.75 brand. This utility consists of special tools for network auditing, collection and management of tools for corporate networks.
The new version of the utility received, basically, replenishment of its own database. Hardware support has also been improved and bugs fixed.
The full list of changes in AIDA64 6.75 is below:
- Improved support for AMD Zen 4 processors and AM5 motherboards.
- Added GPU details for AMD Radeon RX 6650 XT, 6750 XT, 6950 XT.
- Added GPU details to Glenfly Arise.
- Added GPU details for NVIDIA GeForce RTX 4090 and GeForce GTX 1630.
- Fixed support for SMTP TLS 1.2.
The utility, as usual, is offered in four editions, which can be purchased on the developers’ website.
Download AIDA64 6.75 utility.
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TechPowerUp
TechPowerUp website has released a new version of its popular graphics card monitoring utility GPU-Z, which is designed to get information about its popular GPU-Z parameters and monitor all its parameters.
The new version of the GPU-Z utility, number 2.44, has received changes that relate to informing about the Resizable BAR technology, and also added support for a huge number of video cards, both AMD and NVIDIA.
GPU-Z
The list of changes in GPU-Z 2.44.0 is as follows:
- Improved Resizable BAR detection.
- Resizable BAR is now reported in the advanced panel.
- GPU-Z will report «Vista 64» instead of «Vista64» as operating system.
- Screenshots are now uploaded via https.
- Added vendor definition for Vastarmor.
- Fixed some GeForce RTX 3060 cards being labeled as LHR.
- Updated AMD Radeon RX 6600 release date.
- Added support for NVIDIA GeForce RTX 3050, RTX 3080 12 GB, RTX 3070 Ti Mobile, RTX 3050 Ti Mobile (GA106), RTX 2060 12 GB, GT 1010, MX550, GTX 1650 Mobile (TU117-B), RTX A2000 (GA106-B), RTX A4500, A10G, A100 80 GB PCIe, CMP170HX, CMP70HX.
- Added support for AMD Radeon RX 6400, RX 6500 XT, RX 6300M, RX 6500M, W6300M, W6500M, W6600M.
- Added support for Non-K Intel Alder Lake, Mobile Alder Lake, and Rocket Lake Xeon processors.
You can download the free GPU-Z utility from our website.
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TechPowerUp
NVIDIA has started shipping GeForce RTX 3080 Ti graphics cards with mining performance limiter, LHR technology.
They reduce the speed of ETH mining, however, according to CryptoDonkeyMiner, these restrictions are easy to bypass.
This video shows how the Inno3D GeForce RTX 3080 Ti iCHILL X3 is flashed with the BIOS from the higher performance EVGA XC3 card, which dramatically increases the mining speed. As a result of this operation, the speed increases from 77 MHz / s to more than 90 MHz / s.
NVIDIA GeForce RTX 3080 Ti
What’s more, using the DELL RTX 3090 BIOS, we were able to achieve an incredible 110 MHz/s. These speeds are possible thanks to the use of faster GDDR6X memory.
It is worth noting that other sources have confirmed this firmware procedure, which means that you still should not count on the availability of video cards.
mining video cardNVIDIAGeForce RTX 3080 Ti3090
comment on related news The utility is designed for a very fine installation of the NVIDIA video card driver, allowing you to enable and disable many components.
In fact, version 1.
12.0 of the utility received a fix for one annoying bug where, if the system language is selected that does not use «.» as a decimal point, an error was thrown with an incorrect format of the input string. This error is also relevant for us, because in the Russian localization of Windows, the decimal fraction means «,». This version came out a few hours after 1.11.0.
NVCleanstall
But NVCleanstall 1.11.0 version has received numerous changes, and first of all, support for Windows 11 and new types of drivers.
The full list of changes in NVCleanstall 1.11.0 is below:
- Added support for Windows 11.
- NVIDIA no longer releases non-DCH drivers. Therefore, NVCleanstall recommends updating the driver to DCH if a driver older than 496.13 is installed.
- You can perform several tasks from the end screen, including the Install, Show in Folder, and Build Package tasks.
- Added tweaks to display DLSS status and version in game overlay.
- Added a reminder to the «Disable NVIDIA Container» option, which clarifies that enabling it will break the NVIDIA Control Panel.
- Fixed issues with some third party driver packages due to incompatibilities.
- Improved SFX thread creation to avoid preemption cases.
- Fixed NVCleanstall window hanging for a few seconds after installation.
- To fix a compatibility issue with winget, NVCleanstall now waits for the installer to complete before exiting itself.
Download the NVCleanstall utility.
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TechPowerUp
NVIDIA’s flagship CMP 170HX mining accelerator is on sale.
The leader of the NVIDIA CMP (or Crypto Mining Processor) line is the CMP 170HX accelerator, which appeared on sale in the Dubai Vipera store for 4695 USD. At the same time, the CMP 170HX accelerator also began to be sold at the Yahoo auction in Japan, where they ask for $5285.
NVIDIA CMP 170X accelerator for sale
Inside the accelerator is a 7nm GPU with 4480 CUDA cores, 280 TMUs and 128 ROPs.
It also features 8GB of 4096-bit HBM2e memory with an incredible 1493TB/s bandwidth. In terms of performance, in ETH mining, the CMP 170HX accelerator produces 164 MX / s.
NVIDIA CMP 170X Mining Accelerator
Given that we are talking about a single GPU with a power consumption of 250 W, this is an impressive speed. For comparison, the gaming flagship NVIDIA GeForce RTX 3090, consuming more than 300 watts, can only deliver 110 MX / s.
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comment on similar news NVIDIA has started releasing LHR series graphics cards with reduced hashrate, however, some mining utilities are trying to bypass the restrictions.
Typically, GeForce RTX 30xx LHR series graphics cards have 50% less mining performance than their counterparts without the LHR index. Some utilities, for example, T-Rex, allow you to increase mining efficiency up to 70% by optimizing settings, and now their developers have figured out how to use all 100% for mining. To do this, you need to mine two currencies at the same time.
NVIDIA GeForce RTX 3070
The T-Rex utility allows you to place a task of mining two currencies at the same time with a 70/30 download. This setup makes it possible to allocate up to 30% of the GPU power for ETH mining, and another 70% for an alternative currency, such as Ergo (ERG), Ravencoin (RVN) or Cornflux (CFX).
Mining two currencies
However, this approach has some requirements, namely, a lot of video memory. Some combinations require more than 10 GB of VRAM, which means that they cannot be implemented on the GeForce RTX 3060 Ti or RTX 3070, but on the slower RTX 3060 with 12 GB GDDR6.
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The new version of the GPU-Z utility, number 2.43, received only 5 changes, which is not surprising, since only 4 days have passed since the last release. However, the application contains not only bug fixes, but also additions to the database.
GPU-Z
The list of changes in GPU-Z 2.43.0 is as follows:
- It is now possible to read power limits in NVIDIA Ampere cards for laptops in the Advanced -> NVIDIA BIOS menu.
- Fixed a startup crash on some older Radeon cards.
- Fixed execution block counter for Intel Rocket Lake.
- Fixed screenshot crash function under Windows XP. The bug first appeared in version 2.39.
- Added support for NVIDIA Quadro RTX 3000 (TU106-B).
You can download the free GPU-Z utility from our website.
Rocket LakeGPUvideo cardsAMDNVIDIARadeonGPU-Zutilities
1
TechPowerUp website has prepared another update of its popular GPU-Z utility, designed to get all available information about your video card and monitor its parameters. The update was numbered 2.42.0.
In anticipation of the release of a new series of central processors, the release of a fresh version of the utility seems to be quite reasonable. As you might expect, it adds support for Intel Alder Lake-S CPU integrated graphics, as well as several new graphics cards from both NVIDIA and AMD.
GPU-Z 2.42.0
Changes in GPU-Z 2.42.0 are listed below:
- Added support for Intel Alder Lake and Tiger Lake Server.
- Added display for NVIDIA cards with reduced hashrate in the GPU name field, for example, «GA102 (LHR)».
- Added support for the GA104 based RTX 3060 variant.
- Added support for detecting Resizable BAR technology in Radeon RX 5000 series cards.
- Added «-log» command line option that sets the name of the sensor log file and starts logging after the utility is run.
- Improved read stability for EVGA iCX sensors.
- Radeon HD 5000 Series cards will now display the ATI logo.
- Fixed an issue where DirectX 12 support was not displayed on AMD Navi 2x cards.
- Fixed a crash when taking a screenshot.
- Fixed crash in render test.
- Fixed a crash on some systems when reporting Resizable BAR.
- Fixed memory clock reading on some AMD APUs.
- Added Intel Tiger Lake release date.
- Added support for NVIDIA RTX 3050 Ti Mobile (GA106), T1200 Mobile, GRID K340, GRID M30, Q12U-1.
- Added support for AMD Radeon Pro W6800X, Barco MXRT-8700.
- You can download the free GPU-Z utility from our website.
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TechPowerUp
NVIDIA introduced four GPUs specifically for mining earlier this year. They came out under the name Crypto Mining Processor (CMP) and offered miners performance from 26 MX/s to 86 MX/s.
All these cards are based on Turing and Ampere family GPUs and equipped with cooling systems from production partners.
NVIDIA 170HX video accelerator
Now the family of these accelerators has been replenished with a new flagship 170HX model with passive cooling based on NVIDIA A100 accelerator with GA100 processor.
NVIDIA 170HX Cooling System
This new accelerator model is the first for NVIDIA to include 4480 CUDA cores and 8 GB of HBM2E memory, which is noticeably smaller than other GA100-based products. In addition, the company has limited the communication bus to 4 lanes of PCIe Gen 1.
Thus, this card cannot be used for tasks other than mining. The 170HX card has a TDP of 250W and a base frequency of 1140MHz with the BIOS locked to prevent memory overclocking.
NVIDIA 170HX performance NVIDIA 170HX specifications from GPU-Z
As a result, the accelerator performance is 164 MHz/s in the Etash algorithm.
miningvideo cardsA100NVIDIAgraphics processors
comment on related news The utility is designed for a very fine installation of the NVIDIA video card driver, allowing you to enable and disable many components. Also, the utility is able to create a lightweight driver installation package.
The new version of the utility received major changes in terms of security and optimization of the process of signing a rebuilt driver package. The changes also affected the operation of the utility and the driver in Windows safe mode.
NVCleanstall utility
NVCleanstall 1.10.0 changelog includes:
- Fixed ShadowPlay not working due to lost connection to NvModuleTracker.
- Added optional driver signing mode compatible with EasyAntiCheat.
- After the driver signature is rebuilt, the generated private keys are removed for greater security.
- Added a button to recreate a self-installing installer with a lightweight driver package.
- Added an option to disable NVContainer, which further reduces the number of processes, but breaks GFE and removes the NVIDIA Control Panel option from the desktop right-click menu.
- Added option to set selection and priority of Message-Signaled-Interrupt CPU.
- Checked that MSI is activated only on devices with nvlddmkm driver.
- Added an option to disable HDCP.
- When prompted to install a Control Panel App when Windows starts in safe mode, a warning is displayed explaining that UWP apps cannot be installed in safe mode.
- Added input fields to provide hooks for running programs before and after installation.
Download the NVCleanstall utility.
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TechPowerUp
MSI has unveiled its new cryptocurrency mining-oriented graphics card, CMP 50XH MINER, which is based on a GPU with 3584 CUDA cores and contains 10GB of GDDR 6GB memory.
As you might guess, the video card is based on a special version of the GPU, designed for cryptocurrency mining. This model is one of four versions of the CMP series, which also includes the CMP 30HX, CMP 40HX, and the top CMP 9.0X.
MSI CMP 50XH MINER Accelerator
The CMP 50HX is expected to perform similarly to the RTX 2080 Ti, but the MSI CMP 50HX MINER has a slightly lower CUDA core count of 3584 and a clock speed of 1350MHz nominal and 1545MHz Boost. The board is also equipped with 10 GB of GDDR6 video memory with a bandwidth of 14 Gb / s and a bus width of 320 bits. As for its performance in the main task, mining, MSI claims 45 MH/s when mining Ethereum.
Unfortunately, nothing has been announced yet about the start of deliveries and the price of the accelerator.
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comment on similar news Moreover, specifications and even benchmarks of the GeForce RTX 3080 Ti video card, which is based on this processor, have appeared.
The GA102-225 GPU is expected to contain 10240 CUDA cores. On the board, it will run with 12GB of ultra-fast GDDR6X memory. And such a configuration will provide unthinkable performance in mining ETH — 119MH/s. This is even more than the GeForce RTX 3090 Founders Edition and MSI GeForce RTX 3090 SUPRIM X provide, which have mining performance in the 95-115 MX/s range.
NVIDIA GA102-225 GPU
The tested RTX 3080 Ti ran at a base GPU clock of 1365 MHz and 1665 MHz in Boost mode, which is lower than the GeForce RTX 3080 and GeForce RTX 3090.
GeForce RTX 3080 Ti
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TweakTown
In February, NVIDIA announced the RTX 3060 graphics card, which announced the impossibility of cryptocurrency mining.
Unfortunately, just a couple of weeks after its release, NVIDIA made a mistake and released a driver devoid of this lock. Now the company is looking for ways to return to this idea, for which it is preparing to release a new accelerator model.
NVIDIA is rumored to be working on new GPUs codenamed GA106-302 to replace the GA106-300 found in the RTX 3060. These new chips will also have a new PCI Device ID, meaning they won’t be able to work with older drivers and the mining cap should work again.
GeForce RTX 3060
In addition to solving the problem of the leaked unlocked driver, the chip will also receive “further mechanisms” for limiting Ethereum mining on the RTX 3060. The same solutions will be used in the future on the RTX 3080 Ti and RTX 3070 Ti graphics cards .
NVIDIA hasn’t announced anything yet. If the above information is correct, then the GA106-302 GPU will be in the news in a month.
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KitGuru
FinalWire has published a new version of their wonderful AIDA64 test program, number 6.
33.
Key innovations include:
- Extended support for the AMD Epyc 7003 Milan processor.
- Supports SteelSeries Apex 5 OLED display.
- Supports Aqua Computer High Flow Next sensor.
- Monitor Corsair H60i, h200i, h215i, h250i RGB Pro XT liquid coolers.
- Improvements for motherboards based on Intel B560 and Z590 chipsets.
- NZXT smart device sensors support.
- Show GPU information for AMD Radeon RX 6600 and 6700 series.
- Displaying information about the graphics processor for nVIDIA CMP 30HX, CMP 40HX, GeForce GT 1010.
The utility, as usual, is offered in four editions, which can be purchased on the developers’ website.
Download AIDA64 utility 6.33.
Removing the limit from one video card is suitable for a home miner who wants to earn some money between gaming sessions. But this solution is not suitable for industrial miners, because they use several accelerators for mining at the same time.
Plugs for HDMI ports in RTX 3060 video cards
A post appeared on the Korean forum Quasar Zone, which revealed a method for removing restrictions on ETH mining simultaneously on 4 RTX 3060 video cards. As an example, we used a quartet of NVIDIA GeForce RTX 3060 accelerators with driver 470.05, a power supply with a power of 700 W and a budget processor Intel Pentium G3220. To enable mining on all cards, the author of the thread used a simple HDMI plug, which he installed in each video card. The system was controlled via the HDMI port connected to the iGPU. He tested the solution on cards from Galax, Inno3D and Palit, and everywhere the result was successful.
HardwareLuxx editor Andreas Schilling also did a similar test with HDMI plugs. He confirmed the effectiveness of the method. So the limitation on performance in mining can be removed very simply.
It is noteworthy that on Amazon such plugs are already sold with the mark “for BTC mining”.
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Hexus
NVIDIA in the struggle for its main customers, gamers at least and limited the productivity in Etehereum mining on the RTX 3060.
The company reported that this limiter is based on the combination of the driver and the BIOS, and cannot be bypassed just like that. In the past week, reports have surfaced several times on the Web that the limiter has been hacked, but all this was not true. Until NVIDIA broke it itself.
Users of one of the Insider builds of Windows discovered that the latest driver version 470.05 beta made it possible to mine ETH much more efficiently. It turned out to be NVIDIA’s fault. «The developers of the driver accidentally included code used for internal development that disables the hashrate limiter on the RTX 3060 on some configurations» , — said the representative of NVIDIA, and added — «The driver was removed» .
Indeed, the company has removed the 470.05 beta driver, but the genie is out of the bottle. The driver removes the limitation on most RTX 3060 cards, dramatically improving mining performance. Finding this driver on the Internet is not difficult.
video card mining driverNVIDIAGeForce RTX 3060
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It seems that NVIDIA plans to continue the policy of capping mining performance on future GeForce RTX 30 series graphics cards as well. Software, drivers and firmware, which makes it impossible to bypass it.
NVIDIA
Now, the RTX 3060 is reportedly not the only performance-limited accelerator. So, the upcoming GeForce RTX 3080 Ti card will also receive limiting technology, as well as the yet unannounced GeForce RTX 3070 Ti. The GeForce RTX 3080 Ti graphics card is expected to be introduced in April, but NVIDIA has already changed the release dates several times before. 9
Fudzilla
NVIDIA reported a record profit of 5 billion. Demand for gaming GPUs has increased significantly over the year, but new graphics cards are very hard to find, and shortages remain for many months to come.
Despite the deficit, NVIDIA’s profit was a record.
And what role miners play in this remains a mystery. For cryptocurrency farms, miners buy absolutely all video accelerators, and it seems that they are the ones to blame for the shortage.
However, the company claims that the past mining boom was much more intense than the current one. CFO Colette Kress told financial analysts that the launch of the GeForce RTX 30 was the most successful launch in NVIDIA history. It promises to improve shipments throughout the year as supply constraints do not limit NVIDIA’s growth opportunities.
Video cards NVIDIA
However, there are problems. Kress is confident that even without demand from miners, NVIDIA would have brought almost the same number of video cards to the market, being limited by suppliers. The main difference between this crypto fever compared to 2018 is its timing. It has now coincided with the very first release phases of the RTX 30 series, and the demand from gamers has been described as gigantic.
Thus, gamers and miners really compete for video cards with each other, but NVIDIA believes that even without miners, the shortage of accelerators would be just as big.
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comment on similar news Back then, reviewers speculated about the specifications of these GPUs, but now, with the release of a new driver, this information has been confirmed.
30HX, 40HX and 50HX mining accelerators are reported to be based on the old Turing architecture, while the 90HX model will be based on Ampere.
According to the information in the NVIDIA driver 461.72, namely the GPU ID of supported processors, the CMP 30HX accelerator will be based on the TU116 GPU, which can be found in the GTX 16 series of gaming video cards. RTX 2060 and RTX 2070.
CMP 9 Accelerator GPU0003 As for 50HX and 90HX, there is no information about them yet. The 50HX is rumored to be based on the TU102 found in the RTX 2080Ti. But the older model of the accelerator will be based on the modern GA102, which is used in the RTX 3080 graphics accelerators. up to three months.
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KitGuru
NVIDIA has begun rolling out support for Resizable BAR technology, a PCI Express feature that allows the system to increase performance by using fast graphics card memory.
The RTX 3060 will be the first to be supported, with the entire framebuffer available to the CPU instead of the currently available 256MB block. Support will begin rolling out at the end of March.
Of course, in order to use the technology, you need to have not only the appropriate video card, but also the motherboard and processor. For AMD, these are Zen 3 processors, and for Intel, these are 10th and 11th generation Core models.
As for the increase in performance, NVIDIA noted that it varies in different cases from a few percent to 10%. However, in some cases, there is even a drop in frame rate.
In order for other 30 series accelerators to support Resizable BAR, you will need to update the VideoBIOS.
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Verge
NVIDIA is being prepared in the coming days of GEFORCE RTX 3060.
GB received 12 GBs.