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GitHub - NVIDIA/Q2RTX: NVIDIA’s implementation of RTX ray-tracing in Quake II
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Nvidia’s New Policy Limits GeForce Data Center Usage | Hacker News
Developers should be mad about this. Here's where to start contributing to open alternatives:ROCm: https://rocm.github.io/ OpenCL: https://www.khronos.org/opencl/ TensorFlow: https://github.com/tensorflow/tensorflow Nouveau: https://nouveau.freedesktop.org/wiki/ TensorFlow depends exclusively (st time of writing) on CUDA for GPU acceleration. Leaning on them to support OpenCL fully would unlock th
Comparing Google’s TPUv2 against Nvidia’s V100 on ResNet-50
Google recently added the Tensor Processing Unit v2 (TPUv2), a custom-developed microchip to accelerate deep learning, to its cloud offering. The TPUv2 is the second generation of this chip and the first publicly available deep learning accelerator that has the potential of becoming an alternative to Nvidia GPUs. We recently reported our first experience and received a lot of requests for a more d
Since the release of the ground breaking Fermi architecture almost 5 years have gone by, it might be time to refresh the principle graphics architecture beneath it. Fermi was the first NVIDIA GPU implementing a fully scalable graphics engine and its core architecture can be found in Kepler as well as Maxwell. The following article and especially the “compressed pipeline knowledge” image below shou
Inside Pascal: NVIDIA’s Newest Computing Platform | NVIDIA Technical Blog
At the 2016 GPU Technology Conference in San Jose, NVIDIA CEO Jen-Hsun Huang announced the new NVIDIA Tesla P100, the most advanced accelerator ever built. Based on the new NVIDIA Pascal GP100 GPU and powered by ground-breaking technologies, Tesla P100 delivers the highest absolute performance for HPC, technical computing, deep learning, and many computationally intensive datacenter workloads. Tod
How Nvidia’s CUDA Monopoly In Machine Learning Is Breaking - OpenAI Triton And PyTorch 2.0
The 1,000-foot summary is that the default software stack for machine learning models will no longer be Nvidia’s closed-source CUDA. The ball was in Nvidia’s court, and they let OpenAI and Meta take control of the software stack. That ecosystem built its own tools because of Nvidia’s failure with their proprietary tools, and now Nvidia’s moat will be permanently weakened. TensorFlow vs. PyTorch A
GitHub - NVlabs/imaginaire: NVIDIA's Deep Imagination Team's PyTorch Library
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A “First Order” Rising? NVIDIA’s New Policy Limits GeForce Data Center Usage: Universities and Research Centers In A Pinch
A “First Order” Rising? NVIDIA’s New Policy Limits GeForce Data Center Usage: Universities and Research Centers In A Pinch A “First Order” Rising? NVIDIA’s New Policy Limits GeForce Data Center Usage: Universities and Research Centers In A Pinch 2017.12.20 Updated by Ryo Shimizu on December 20, 2017, 23:46 pm JST In publishing this article, I would like to express my thanks to Mr. Izumi Akiyama of
RUMOR: NVIDIA's GTX 2080 Flagship Graphics Cards Will Be Priced Significantly Upwards Of $699 MSRP, Up To $1500
RUMOR: NVIDIA’s GTX 2080 Flagship Graphics Cards Will Be Priced Significantly Upwards Of $699 MSRP, Up To $1500 TweakTown has been churning out quite a few reports recently and another post now states that NVIDIA could price its flagship graphics cards up to or upwards of $1500. This is something that makes a lot of sense all things considered but we didn't really get a chance to talk about it (no
Hardware Documents Leak NVIDIA's Quantum Physics Engine Kristopher Kubicki (Blog) - October 5, 2006 1:21 AM Print E-mail del.icio.us 37 comment(s) - last by scrapsma54.. on Oct 30 at 4:35 PM Recipient E-mail Sender E-mail Please input the letters/numbers that appear in the image below. (not case-sensitive) NVIDIA is ready to counter the Triple Play With the release of the G80, NVIDIA will als
2 + 2 = 4, er, 4.1, no, 4.3... Nvidia's Titan V GPUs spit out 'wrong answers' in scientific simulations
2 + 2 = 4, er, 4.1, no, 4.3... Nvidia's Titan V GPUs spit out 'wrong answers' in scientific simulations Nvidia’s flagship Titan V graphics cards may have hardware gremlins causing them to spit out different answers to repeated complex calculations under certain conditions, according to computer scientists. The Titan V is the Silicon Valley giant's most powerful GPU board available to date, and is
NVIDIA's $99 Jetson Nano is an AI computer for DIY enthusiasts
Sophisticated AI generally isn't an option for homebrew devices when the mini computers can rarely handle much more than the basics. NVIDIA thinks it can do better -- it's unveiling an entry-level AI computer, the Jetson Nano, that's aimed at "developers, makers and enthusiasts." NVIDIA claims that the Nano's 128-core Maxwell-based GPU and quad-core ARM A57 processor can deliver 472 gigaflops of p
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Life of a triangle - NVIDIA's logical pipeline
NVIDIA’s Pascal GPUが2016年デビュー【GTX1080発売日確定】| 900番台を過去のものにした高パフォーマンスグラフィックボードに期待が掛かる！
DailyTech - Documents Leak NVIDIA's Quantum Physics Engine