Huawei to Test AI Chip to Rival NVIDIA's H100 Amid US Sanctions Pressure
#AIChip #H100 #huawei #nvidia #technologycompetition
https://blazetrends.com/huawei-to-test-ai-chip-to-rival-nvidias-h100-amid-us-sanctions-pressure/?fsp_sid=20775
#h100
Source: Patrick Boyle
»#Huawei readies new #AIchip for mass shipment: It achieves performance comparable to #Nvidia's #H100 chip by combining two #910B processors through advanced integration techniques.« https://www.reuters.com/world/china/huawei-readies-new-ai-chip-mass-shipment-china-seeks-nvidia-alternatives-sources-2025-04-21/?eicker.news #tech #media #news
We are buying high-end GPUs, which are used for AI computing, like A100, H100, H200, MI300, etc. Check this link: https://www.buysellram.com/sell-graphics-card-gpu/
#SellGPU #AIHardware #GPUBuyback #GPUBuyers #TechResale
#AIComputing #DataCenterGPUs #A100 #H100 #H200 #MI300
#ITAssetRecovery #EnterpriseGPUs #EwasteRecycling #Tech #GPU
Sizing up #MI300A’s #GPU
It’s well ahead of #Nvidia’s #H100 PCIe for just about every major category of 32- or 64-bit operations. MI300A can achieve 113.2 TFLOPS of #FP32 throughput, with each FMA counting as two floating point operations. For comparison, H100 PCIe achieved 49.3 TFLOPS in same test.
#AMD cut down #MI300X’s GPU to create MI300A. 24 #Zen4 cores is a lot of #CPU power, and occupies one quadrant on the MI300 chip. But MI300’s main attraction is still the GPU.
https://chipsandcheese.com/p/sizing-up-mi300as-gpu
The 4x #Nvidia #H100 SXM5 server in the new Festus cluster at Uni Bayreuth is the fastest system I've ever tested in #FluidX3D #CFD, achieving 78 GLUPs/s #LBM performance at ~1650W #GPU power draw. 🖖😋🖥️🔥
https://github.com/ProjectPhysX/FluidX3D?tab=readme-ov-file#multi-gpu-benchmarks
https://www.hpc.uni-bayreuth.de/clusters/festus/#__tabbed_1_3
#Huawei #HiSilicon #Ascend 910C is a version of the company's Ascend 910 processor for #AI training introduced in 2019. By now, the performance of the Ascend 910 is barely sufficient for the cost-efficient training of large AI models. Still, when it comes to inference, it delivers 60% of #Nvidia #H100 performance, according to researchers from #DeepSeek While the Ascend 910C is not a performance champion, it can succeed in reducing China's reliance on Nvidia #GPU's https://www.tomshardware.com/tech-industry/artificial-intelligence/deepseek-research-suggests-huaweis-ascend-910c-delivers-60-percent-nvidia-h100-inference-performance
Okay, loosing my mind here a bit. I just tested #OpenGL rendering under Linux on an #NVIDIA #H100 GPU, through #VirtualGL's #EGL backend.
And it worked... Renderer "NVIDIA H100/PCIe/SSE2", driver 555.42.06
I always understood the H100s to be incapable of OpenGL. But it seems I missed a crucial part in the H100 architecture doc (https://resources.nvidia.com/en-us-tensor-core), shown in the image.
Except, I'm sure I tested OpenGL at some point under X, but it didn't work. So, did anything change (e.g. driver)?
DeepSeek 測試：華為昇騰 910C 效能達 H100 六成 盼減低依賴 NVIDIA
DeepSeek 研究團隊的測試顯示，華為最新 AI 處理器昇騰 910C（Ascend 910C） 在推理運 […]
The post DeepSeek 測試：華為昇騰 910C 效能達 H100 六成 盼減低依賴 NVIDIA appeared first on 香港 unwire.hk 玩生活．樂科技.
#人工智能 #科技新聞 #AI #H100
https://unwire.hk/2025/02/05/huawei-910c-60percent-h100/ai/?utm_source=rss&utm_medium=rss&utm_campaign=huawei-910c-60percent-h100
DeepSeek R1 reproduced for $30: Berkeley researchers replicate DeepSeek R1 for $30—casting doubt on H100 claims and controversy
»#DeepSeek Debates: Chinese Leadership On #Cost, True #TrainingCost, Closed Model Margin Impacts #H100 Pricing Soaring, Subsidized Inference Pricing, #ExportControls, MLA.« https://semianalysis.com/2025/01/31/deepseek-debates/?eicker.news #tech #media
@PWS_1
Zur Zeit weiss noch niemand zu sagen, was hinter der sogenannten Kosteneffizienz von #DeepSeek steckt.
Bessere #Algorithmen? Adequatere chinesisch geframte #Trainingsdaten? Weit mehr Trainingskapazität qua mehr chinesischen Sklavenarbeitern (vgl. reverse lookup auf analogen Telefon&Adressdaten qua Transkriptionssklaven)? Oder hat #China tatsächlich doch Zugang zu genügend stromfressenden #H100-Ressourcen?
Ja, die Benchmarktests zu DeepSeek sind remarkable. #AI
https://m.youtube.com/watch?v=FJvSFTMNTu4
Global AI Giants GPU Resources Revealed: Over 12.4 Million H100 Equivalents Projected by 2025!
Global AI Giants GPU Resources Revealed: Over 12.4 Million H100 Equivalents Projected by 2025!
MI300X vs H100 vs H200 Benchmark Part 1: Training – CUDA Moat Still Alive – SemiAnalysis
Link📌 Summary: 本文深入比較了AMD的MI300X與Nvidia的H100和H200在訓練性能、用戶體驗和總擁有成本等方面的優劣。儘管MI300X在規格上似乎優於競爭對手，實際性能卻未達預期，主要原因是AMD的公共軟件堆棧存在多重漏洞，導致用戶的初始體驗不佳。AMD必須改進軟件質量和測試過程，並提供更良好的出廠體驗纔能有效競爭。此文亦提供了對AMD的具體建議，助其在AI訓練工作負載中成為更強的競爭者。
🎯 Key Points:
- 性能比較：MI300X在矩陣乘法（GEMM）性能上普遍低於H100/H200。
- 用戶體驗：MI300X的公共穩定版本在出廠時存在多數Bug，影響用戶的使用體驗。
- 總擁有成本（TCO）：雖然MI300X的TCO較低，但在公開穩定版本上，其訓練性能表現卻不佳。
- 建議改進：AMD需提高軟件開發資源、改善自家開發流程，並加強自動化測試來提升產品質量。
- 軟件支持：AMD應提交MLPerf訓練結果，以提升其市場競爭力和透明度。
🔖 Keywords: #MI300X #H100 #H200 #訓練性能 #用戶體驗
Breakthrough in AI-Powered #Audio Generation and Transformation 🎵
🎹 #Fugatto, developed by #NVIDIA researchers, introduces universal sound manipulation through text prompts, handling music, voice & sound effects simultaneously
🎯 Advanced capabilities include accent modification, emotion control, and creation of never-before-heard sounds using #AI technology
🔧 Technical specs: 2.5B parameters, trained on #DGX systems with 32 #H100 GPUs, featuring ComposableART for instruction combination
🎨 Applications span #music production, game development, advertising & language learning - enables real-time audio asset generation & modification
💡 Developed by international team from India, Brazil, China, Jordan & South Korea, enhancing multi-accent & multilingual capabilities
How To Install One Click, Pre-configured Hugging Face (HUGS) AI Models On DigitalOcean GPU Droplets https://youtu.be/-jwA9FrDLgc #Websplaining #HuggingFace #Hugs #HF #DigitalOcean #Droplet #GpuDroplets #GPU #OneClickAiModels #AI #AiModels #ML #LLM #LLMs #NVIDIA #TGI #Inference #H100
How To Create A NVIDIA H100 GPU Cloud Server To Run And Train AI, ML, And LLMs Apps On DigitalOcean https://youtu.be/aDPUOzk443E #Websplaining #GPU #NVIDIA #DigitalOcean #GpuDroplet #Droplet #AI #ML #LLM #H100 #NvidiaH100 #H100GPU #CloudServer #VPS #Server #GpuServer #Ubuntu #Linux
»#Meta is using more than 100,000 #Nvidia #H100 AI GPUs to train #Llama4: Mark Zuckerberg says that Llama 4 is being trained on a cluster “bigger than anything that I’ve seen”.« https://www.tomshardware.com/tech-industry/artificial-intelligence/meta-is-using-more-than-100-000-nvidia-h100-ai-gpus-to-train-llama-4-mark-zuckerberg-says-that-llama-4-is-being-trained-on-a-cluster-bigger-than-anything-that-ive-seen?eicker.news #tech #media
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