Nvidia Corporation is an American multinational corporation and technology
company. It is a software and fabless company which designs and supplies
graphics processing units (GPUs), application programming interfaces (APIs) for
data science and high-performance computing, as well as system on a chip...
This community seems to be abandoned by the moderators, but people are still keeping it alive, I would like to offer an alternative one for those people.
Game Ready - This new Game Ready Driver provides the best gaming experience for the latest new games supporting DLSS 3 technology including Dungeonborne, Flintlock: The Siege of Dawn, and Stormgate.
Applications - The July NVIDIA Studio Driver provides optimal support for the latest new creative applications and updates including Wondershare Filmora’s latest update which introduces support for NVIDIA RTX Video HDR.
Fixed Bugs
[NVENC] Quality and bitrate settings are ignored at 10-bit encoding [4697900]
[OBS] Scaling 10-bit HVEC or AV1 content down below 50% in viewport shows corruption for some configurations [4496901]
[Unity] Artifacts when rendering overlapped geometry on anti-aliased framebuffer [4616564]
[Adobe Premiere] Visual corruption in Source and Program Monitor Previews when using 555.85 driver [4679207]
Open Issues
[GeForce Experience] Performance Monitoring overlay may stop refreshing GPU information [4679970]
[GeForce Experience/NVIDIA App] If GPU utilization gets stuck at 0% within Performance overlay, games may display stutter [4720547]
Security Bulletin issues listed by Nvidia in the 'NVIDIA GPU Display Driver - July 2024' bulletin are addressed by 556.12 and later - https://nvidia.custhelp.com/app/answers/detail/a_id/5557
555.85 and later NVIDIA display drivers no longer support CPUs without the POPCNT (Population Count) instruction - https://nvidia.custhelp.com/app/answers/detail/a_id/5554
HDR RTX multi-monitor requires both driver support and NVIDIA app support, the feature may be available with the next major version of the Nvidia App - https://www.nvidia.com/en-us/geforce/forums/user/15//545935//?comment=3462944
NVIDIA Broadcast Hotfix for Windows 11 24H2 is available at https://nvidia.custhelp.com/app/answers/detail/a_id/5553/
Chromium Checkboard issue, Microsoft have officially released a patch to the Windows 11 stable channel as KB5039212 (OS Builds 22621.3737 / 22631.3737) and Windows 10 stable channel as KB5040427 (OS Builds 19044.4651 and 19045.4651)
Watch Dogs 2 flickering issue fix, see 'Troubleshooting and Workarounds' section
Halo Wars 2 in-game foliage issue fix, see 'Troubleshooting and Workarounds' section
NVGPUCOMP64.dll and/or 'out of VRAM' crashes, see 'Troubleshooting and Workarounds' section
Nvidia App (BETA) may impact frame rates (?CPU bound scenarios?) on some systems, this isn't a Nvidia driver issue
Shader cache locations have been updated for 545.37 or newer drivers - %USERPROFILE%\AppData\LocalLow\NVIDIA\PerDriverVersion\DXCache and %LocalAppData%\NVIDIA\GLCache
Branch Information
560.70: r560_00-67 (Game Ready/Studio)
556.12: r556_09-02 (Game Ready)
555.99: r555_97-02 (Game Ready/Quadro/Studio)
555.85: r555_79-02 (Game Ready/Studio)
552.79: VK551_06-?? (Developer)
552.44: r552_19-08 (Game Ready)
552.22: r552_19-02 (Game Ready/Studio)
551.86: r550_00-192 (Game Ready/Studio)
Confirmed Additional Issues
This section covers issues officially acknowledged by Nvidia that are not in the original driver release notes OR in the Reddit moderator's r/Nvidia driver post
[GeForce RTX Series 40] graphics cards running older firmware could experience blank screens on boot with certain motherboards in UEFI mode until the OS loads - see https://nvidia.custhelp.com/app/answers/detail/a_id/5411/
[Nvidia API] [GeForce Experience/NVIDIA App] if GPU utilization gets stuck at 0% inside of the GeForce Experience/NVIDIA App Performance overlay, games may display stutter [4720547] UPDATE: caused by a bug in a Nvidia r555/r560 API, workaround is to revert to driver 552.44 and older
[Octane Render] Render may not complete on RTX 30 series and older GPUs after updating to R555 and higher drivers [4726026]
[Dying Light 2 Stay Human: Reloaded Edition] Unable to launch game after updating to GRD 560.70 [4739980]
If high bandwidth memory was widely available and we had cheap and reliable fusion power, there never would have been a move to use GPU and other compute
NVIDIA RTX 5090 & 5080 announcement later this year The company plans to launch its new GPUs one by one. According to XpeaGPU, NVIDIA is set to launch its new flagship RTX 5090 and high-end RTX 5080 GPUs within a few weeks of each other. Both SKUs are expected to be announced simultaneously in 2024...
Pictures of Nvidia’s new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to […]
#What is Nvidia Blackwell?
Named after David Blackwell, the first black scholar inducted into the National Academy of Science, Blackwell (GB200, which stands for Grace-Blackwell 200) follows the success of its predecessor, Hopper(GH100, which stands for Grace-Hopper 100), which boosted Nvidia’s sales.
For anybody who is not familiar with the naming conventions of Nvidia’s chip world, G or Grace is the CPU used in Nvidia’s AI computing modules called DGX, and B or Blackwell is a GPU, which is an upgrade from the previous H or Hopper.
Nvidia Blackwell and the whole DGXGB200 SuperPOD AI computer
Nvidia Blackwell and the whole DGXGB200 SuperPOD AI computer
Apart from the apparent benchmark scores that Nvidia proudly wears on its chest, the most assuming part is that Nvidia has taken two dies or chips and just merged them without any loss of computational capabilities, giving birth to GB200, which is insane from an engineering perspective.
One of the direct competitors, AMD MI300, will indeed be shivering when they hear these numbers.
The new Blackwell ship is 4–5 times faster than its predecessor, Hopper. But when integrated into its environment of DGX Module, it becomes a beast and outputs almost 30x the inference performance, yes, not 30% but 30 times, and wait, wait, there is more, all while consuming 25X less power again that is not 25% its 25 times.
This allows LLM’s models to train on over 27 trillion parameters. For comparison, the famous ChatGPT 4.0 was trained on 1.7 trillion parameters.
Blackwell will be made in partnership with Nvidia’s best friend, TSMC, during a fantastic 3 nm fabrication process. It has 208 billion transistors, allowing data speeds up to 10Tb/sec. Amazing right?
#How is Blackwell(GB200) better than Hopper GPU(GH100)?
The previous generation of AI-optimized GPUs was called Hopper. Blackwell is between 2 and 30 times faster, depending on how you measure it. Huang explained that it took 8,000 GPUs, 15 megawatts, and 90 days to create the GPT-MoE-1.8T model. With the new system, you could use just 2,000 GPUs and 25% of the power.
Blackwell is genuinely a very successful replacement for the Hopper GPU because it builds upon GH100’s strengths and fills in the gaps or limitations, like improved communication bottlenecks for a larger number of racks. It has no Memory locality issues or cache storage issues.
This essentially means there are much lower bottlenecks when sharing data between servers, dramatically reducing the idle time for each GPU on each server. Thus, efficiency is boosted since more stuff gets done in the same clock cycles.
GB200 offers improved connectivity and data processing for AI tasks and is part of Nvidia’s “super chip” lineup, complementing its central processing unit, Grace.
Nvidia will definetly help AI to reach new heights.
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In many ways, the “Grace” CG100 server processor created by Nvidia – its first true server CPU and a very useful adjunct for extending the memory space of
We have five decades of very fine-grained analysis of CPU compute engines in the datacenter, and changes come at a steady but glacial pace when it comes
Nvidia called for accelerating revenue growth in the next quarter, even as executives warn that government limits on sales to some countries will hurt results.
Supercomputing enthusiasts are speed demons, so it made sense for Nvidia to discuss its 2024 computing products at Supercomputing 2023. Nvidia’s next-generation products are being planned around H200 GPU, which […]
NVIDIA has released a TensorRT extension for Stable Diffusion using Automatic 1111, promising significant performance gains. But does it work as advertised?