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Stephen Foskett<p>Learning about the value of benchmarks at <a href="https://techfieldday.net/tags/AIFD6" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIFD6</span></a>, including <a href="https://techfieldday.net/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a> Storage and Client, from David Kanter of <a href="https://techfieldday.net/tags/MLCommons" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLCommons</span></a></p><p>Watch live on TechFieldDay.com!</p>
Winbuzzer<p>New MLPerf Training v4.1 benchmarks are in: Nvidia’s Blackwell B200 outpaces rivals in AI benchmarks, while Google’s Trillium narrows the gap in training performance. <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/nvidia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nvidia</span></a> <a href="https://mastodon.social/tags/google" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>google</span></a> <a href="https://mastodon.social/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a></p><p><a href="https://winbuzzer.com/2024/11/14/nvidia-b200-blackwell-outshines-google-trillium-tpu-in-latest-mlperf-benchmark-xcxwbn/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">winbuzzer.com/2024/11/14/nvidi</span><span class="invisible">a-b200-blackwell-outshines-google-trillium-tpu-in-latest-mlperf-benchmark-xcxwbn/</span></a></p>
HPC Guru<p>HPCpodcast: MLCommons' David Kanter on <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Benchmarks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Benchmarks</span></a> and What They’re Telling Us</p><p><a href="https://insidehpc.com/2024/11/hpcpodcast-mlcommons-david-kanter-on-ai-benchmarks-and-what-theyre-telling-us/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">insidehpc.com/2024/11/hpcpodca</span><span class="invisible">st-mlcommons-david-kanter-on-ai-benchmarks-and-what-theyre-telling-us/</span></a></p><p><a href="https://mastodon.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a> <a href="https://mastodon.social/tags/Storage" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Storage</span></a> <a href="https://mastodon.social/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a></p>
Adrian Cockcroft<p>An actual <a href="https://mastodon.social/tags/mlperf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlperf</span></a> benchmark aligns with my predictions for single GPU performance of 4x gain. <a href="https://developer.nvidia.com/blog/nvidia-blackwell-platform-sets-new-llm-inference-records-in-mlperf-inference-v4-1/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">developer.nvidia.com/blog/nvid</span><span class="invisible">ia-blackwell-platform-sets-new-llm-inference-records-in-mlperf-inference-v4-1/</span></a></p>
Benjamin Carr, Ph.D. 👨🏻‍💻🧬<p><a href="https://hachyderm.io/tags/AMD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AMD</span></a> posts first Instinct <a href="https://hachyderm.io/tags/MI300X" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MI300X</span></a> <a href="https://hachyderm.io/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a> <a href="https://hachyderm.io/tags/benchmark" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>benchmark</span></a> results — roughly in line with <a href="https://hachyderm.io/tags/Nvidia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Nvidia</span></a> <a href="https://hachyderm.io/tags/H100" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>H100</span></a> (But only in <a href="https://hachyderm.io/tags/Llama2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Llama2</span></a> 70B).<br>Based on data AMD shared, 8x MI300X processors only slightly slower (23,512 TOPS) than 8x H100 SXM3 (24,323 TOPS), which can probably be called 'competitive' given how well Nvidia's software stack is optimized for popular <a href="https://hachyderm.io/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> like Llama 2. AMD MI300X system is slightly faster than the H100 machine in more or less real-world server benchmarks.<br><a href="https://www.tomshardware.com/tech-industry/artificial-intelligence/amd-posts-first-instinct-mi300x-mlperf-benchmark-results-roughly-in-line-with-nvidia-h100-performance" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">tomshardware.com/tech-industry</span><span class="invisible">/artificial-intelligence/amd-posts-first-instinct-mi300x-mlperf-benchmark-results-roughly-in-line-with-nvidia-h100-performance</span></a></p>
:rss: Hacker News<p>Nvidia Conquers Latest AI Tests<br><a href="https://spectrum.ieee.org/mlperf-nvidia-conquers" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">spectrum.ieee.org/mlperf-nvidi</span><span class="invisible">a-conquers</span></a><br><a href="https://rss-mstdn.studiofreesia.com/tags/ycombinator" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ycombinator</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/training" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>training</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/artificial_intelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificial_intelligence</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/large_language_models" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>large_language_models</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/llms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llms</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/nvidia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nvidia</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/intel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>intel</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/google" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>google</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/fine_tuning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fine_tuning</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/graph_neural_networks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>graph_neural_networks</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/gpt_3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gpt_3</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/stable_diffusion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stable_diffusion</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/mlperf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlperf</span></a></p>
HPC Guru<p><a href="https://mastodon.social/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a> Training 4.0 – Nvidia Still King; Power and <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> Fine Tuning Added </p><p>Nvidia (currently king of accelerated computing) wins again, sweeping all nine “events” (workflows) as it were</p><p><a href="https://hpcwire.com/2024/06/12/mlperf-training-4-0-nvidia-still-king-power-and-llm-fine-tuning-added/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hpcwire.com/2024/06/12/mlperf-</span><span class="invisible">training-4-0-nvidia-still-king-power-and-llm-fine-tuning-added/</span></a></p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a></p>
Stephen Foskett<p><a href="https://techfieldday.net/tags/SymLink" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SymLink</span></a>: Stephen Foskett talks with David Kanter about MLCommons' efforts in advancing AI technology and ensuring AI safety, underlined by their benchmarking tools that help guide consumer purchasing. <span class="h-card" translate="no"><a href="https://techfieldday.net/@GestaltIT" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>GestaltIT</span></a></span> <span class="h-card" translate="no"><a href="https://techfieldday.net/@sfoskett" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>sfoskett</span></a></span> <a href="https://techfieldday.net/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://techfieldday.net/tags/AIFD4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIFD4</span></a> <a href="https://techfieldday.net/tags/AIPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIPC</span></a> <a href="https://techfieldday.net/tags/AISafety" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AISafety</span></a> <a href="https://techfieldday.net/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a> <a href="https://techfieldday.net/tags/UtilizingAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UtilizingAI</span></a><br><a href="https://gestaltit.com/utilizing-tech/stephen/ai-pcs-renewed-focus-on-ai-safety-and-more-with-david-kanter-of-mlcommons/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">gestaltit.com/utilizing-tech/s</span><span class="invisible">tephen/ai-pcs-renewed-focus-on-ai-safety-and-more-with-david-kanter-of-mlcommons/</span></a></p>
Gestalt IT<p>Just Posted: The article "AI PCs, Renewed Focus on AI Safety, and More with David Kanter of MLCommons" summarizes a podcast episode discussing MLCommons' influence on AI innovation and safety, and its provision of transparent AI product benchmarks to aid consumer decisions. <a href="https://techfieldday.net/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://techfieldday.net/tags/AIFD4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIFD4</span></a> <a href="https://techfieldday.net/tags/AISafety" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AISafety</span></a> <a href="https://techfieldday.net/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a> <a href="https://techfieldday.net/tags/UtilizingAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UtilizingAI</span></a> <a href="https://techfieldday.net/tags/UtilizingTech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UtilizingTech</span></a><br><a href="https://utilizingtech.com/podcast/ai-pcs-renewed-focus-on-ai-safety-and-more-with-david-kanter-of-mlcommons/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=ai-pcs-renewed-focus-on-ai-safety-and-more-with-david-kanter-of-mlcommons" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">utilizingtech.com/podcast/ai-p</span><span class="invisible">cs-renewed-focus-on-ai-safety-and-more-with-david-kanter-of-mlcommons/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=ai-pcs-renewed-focus-on-ai-safety-and-more-with-david-kanter-of-mlcommons</span></a></p>
:rss: Hacker News<p>MLPerf training tests put Nvidia ahead, Intel close, and Google well behind<br><a href="https://spectrum.ieee.org/generative-ai-training" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">spectrum.ieee.org/generative-a</span><span class="invisible">i-training</span></a><br><a href="https://rss-mstdn.studiofreesia.com/tags/ycombinator" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ycombinator</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/intel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>intel</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/mlperf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlperf</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/supercomputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>supercomputing</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/nvidia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nvidia</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/generative_ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>generative_ai</span></a></p>
HPC Guru<p><a href="https://mastodon.social/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a> <a href="https://mastodon.social/tags/Training" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Training</span></a> and <a href="https://mastodon.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a> results highlight performance gains of *up to* 2.8X compared to 5 months ago and 49X over the first results five years ago</p><p><a href="https://insidehpc.com/2023/11/mlperf-training-and-hpc-benchmark-show-49x-performance-gains-in-5-years/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">insidehpc.com/2023/11/mlperf-t</span><span class="invisible">raining-and-hpc-benchmark-show-49x-performance-gains-in-5-years/</span></a></p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a></p>
Ronaldo V. Lobato<p>Nvidia Still on Top in Machine Learning; Intel Chasing</p><p>The latest <a href="https://mathstodon.xyz/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a> inferencing benchmarks include <a href="https://mathstodon.xyz/tags/Nvidia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Nvidia</span></a>’s Grace Hopper superchip</p><p><a href="https://spectrum.ieee.org/mlperf" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">spectrum.ieee.org/mlperf</span><span class="invisible"></span></a></p>
Gestalt IT<p>Just Posted: Tom Hollingsworth's article sheds light on how the International Criminal Court, per Karim Khan's proposal, plans to extend international law to cybercriminals, alongside highlighting significant tech updates from companies like CoreWeave, Enfabrica, MGM Resorts, and Intel. <span class="h-card"><a href="https://techfieldday.net/@networkingnerd" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>networkingnerd</span></a></span> <a href="https://techfieldday.net/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://techfieldday.net/tags/CyberSecurity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CyberSecurity</span></a> <a href="https://techfieldday.net/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a> <a href="https://techfieldday.net/tags/Rundown" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rundown</span></a> <a href="https://techfieldday.net/tags/SDC23" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SDC23</span></a> <a href="https://techfieldday.net/tags/Security" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Security</span></a> <a href="https://techfieldday.net/tags/SFD26" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SFD26</span></a> <a href="https://techfieldday.net/tags/Thunderbolt5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Thunderbolt5</span></a><br><a href="https://gestaltit.com/rundown/tom/cybercriminals-gain-attention-from-international-criminal-courts-gestalt-it-rundown-september-13-2023/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">gestaltit.com/rundown/tom/cybe</span><span class="invisible">rcriminals-gain-attention-from-international-criminal-courts-gestalt-it-rundown-september-13-2023/</span></a></p>
Ryan Daws 🤓<p>MLPerf Inference v3.1 introduces new LLM and recommendation benchmarks <a href="https://www.artificialintelligence-news.com/2023/09/12/mlperf-inference-v3-1-new-llm-recommendation-benchmarks/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">artificialintelligence-news.co</span><span class="invisible">m/2023/09/12/mlperf-inference-v3-1-new-llm-recommendation-benchmarks/</span></a> <a href="https://techhub.social/tags/mlperf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlperf</span></a> <a href="https://techhub.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://techhub.social/tags/ml" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ml</span></a> <a href="https://techhub.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://techhub.social/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>news</span></a> <a href="https://techhub.social/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tech</span></a> <a href="https://techhub.social/tags/technology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>technology</span></a></p>
Stephen Foskett<p><a href="https://techfieldday.net/tags/SymLink" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SymLink</span></a>: The latest Gestalt IT Rundown highlights the impact of MLPerf 3 benchmark results, discussing performance improvements in AI training and energy efficiency, along with news on Intel's Gaudi2, Nvidia's NeMo model, the expansion of MLPerf <span class="h-card"><a href="https://techfieldday.net/@GestaltIT" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>GestaltIT</span></a></span> <span class="h-card"><a href="https://techfieldday.net/@sfoskett" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>sfoskett</span></a></span><br><a href="https://gestaltit.com/rundown/stephen/mlperf-3-upsets-the-ai-apple-cart-gestalt-it-rundown-june-28-2023/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">gestaltit.com/rundown/stephen/</span><span class="invisible">mlperf-3-upsets-the-ai-apple-cart-gestalt-it-rundown-june-28-2023/</span></a><br><a href="https://techfieldday.net/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://techfieldday.net/tags/CentOS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CentOS</span></a> <a href="https://techfieldday.net/tags/Cloud" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Cloud</span></a> <a href="https://techfieldday.net/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a> <a href="https://techfieldday.net/tags/MLPerf3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf3</span></a> <a href="https://techfieldday.net/tags/NetworkMonitoring" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NetworkMonitoring</span></a> <a href="https://techfieldday.net/tags/RHEL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RHEL</span></a> <a href="https://techfieldday.net/tags/Rundown" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rundown</span></a></p>
Don Kosak<p>NVIDIA posted their <a href="https://fosstodon.org/tags/MLPerf" class="mention hashtag" rel="tag">#<span>MLPerf</span></a> <a href="https://fosstodon.org/tags/MachineLearning" class="mention hashtag" rel="tag">#<span>MachineLearning</span></a> benchmarks today. Take-away: </p><p>2.5X overall speed improvements on A100 (Ampere) due to software improvements since initial release.</p><p>6.7X overall speed improvement on new H100 (Hopper) architecture vs. original A100.</p><p>Details: <a href="https://blogs.nvidia.com/blog/2022/11/09/mlperf-ai-training-hpc-hopper/" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">blogs.nvidia.com/blog/2022/11/</span><span class="invisible">09/mlperf-ai-training-hpc-hopper/</span></a></p>
RISC-V<p>RT from Andes Technology (@Andes_Tech)</p><p>Andes announced submitting <a href="https://noc.social/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a> Tiny v0.7 benchmark for Andes V5 <a href="https://noc.social/tags/RISCV" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RISCV</span></a> <a href="https://noc.social/tags/processors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>processors</span></a>. With <a href="https://noc.social/tags/AndesCore" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AndesCore</span></a>, customers could accelerate and facilitate <a href="https://noc.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> applications such as <a href="https://noc.social/tags/TinyML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TinyML</span></a>, <a href="https://noc.social/tags/AIoT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIoT</span></a>, <a href="https://noc.social/tags/NN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NN</span></a>, <a href="https://noc.social/tags/signal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>signal</span></a> processing, <a href="https://noc.social/tags/data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>data</span></a> processing, and more! Read more: <a href="http://t.ly/Glmd" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">http://</span><span class="">t.ly/Glmd</span><span class="invisible"></span></a></p><p>Original tweet : <a href="https://twitter.com/Andes_Tech/status/1549771115806896128" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">twitter.com/Andes_Tech/status/</span><span class="invisible">1549771115806896128</span></a></p>
RISC-V<p>RT from Andes Technology (@Andes_Tech)</p><p>Andes Scores!!!! <a href="https://lnkd.in/gCgum-Qt" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">lnkd.in/gCgum-Qt</span><span class="invisible"></span></a> :In the MLPerf <a href="https://noc.social/tags/MLPerfTinyML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerfTinyML</span></a> section,... Andes's "AndesCore" chips make use of the open-source RISC-V computer instruction set,... an instruction set that can be freely modified for any kind of computing device."<a href="https://noc.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://noc.social/tags/MLPerf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLPerf</span></a> <a href="https://noc.social/tags/TinyML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TinyML</span></a> <a href="https://noc.social/tags/RISCV" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RISCV</span></a></p><p>Original tweet : <a href="https://twitter.com/Andes_Tech/status/1512131166924541954" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">twitter.com/Andes_Tech/status/</span><span class="invisible">1512131166924541954</span></a></p>
Gapry<p>MLCommons Releases MLPerf Inference v1.0 Results with First Power Measurements</p><p><a href="https://fosstodon.org/tags/MLPerf" class="mention hashtag" rel="tag">#<span>MLPerf</span></a><br /><a href="https://fosstodon.org/tags/GapryBlogReadingList" class="mention hashtag" rel="tag">#<span>GapryBlogReadingList</span></a> </p><p><a href="https://mlcommons.org/en/news/mlperf-inference-v10/" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">mlcommons.org/en/news/mlperf-i</span><span class="invisible">nference-v10/</span></a></p>