NVIDIA excels in MLPerf Training 4.0, surpassing AMD and achieving unprecedented performance. They tripled LLM performance compared to last year, using NVIDIA H100 GPUs. The results showcase unmatched generative AI training performance, setting new records across all workloads.
Check out what @NVIDIA have to say about our parent company @CloudNexgen🙌 #Hyperstack #GPUisWhatWeDo https://t.co/lQ6pOQBTVB
NVIDIA Sets New Standards in Generative AI with MLPerf Training v4.0 #AI #AItechnology #artificialintelligence #llm #machinelearning #MLPerfTraining #Nvidia https://t.co/Dcg8qQcZ0M https://t.co/iRv1uC68Qr
NVIDIA Dominates MLPerf Training v4.0 Benchmarks, Achieves Near-Perfect Scaling Efficiency https://t.co/QvbG85wxie
This is BIG news in the world of AI. @realGeorgeHotz made AMD GPU bench on MLPerf. Previously it was exclusively Nvidia, the reason we needed Nvidia GPU to run LLMs. Now AMD GPUs (pretty powerful btw) can enter the game. 🔥 https://t.co/aHAhVqNZL5
MLPerf 4.0 training results show up to 80% in AI performance gains https://t.co/yOvYt8toZY via @VentureBeat
MLPerf Training 4.0 – Nvidia Still King; Power and LLM Fine Tuning Added https://t.co/InH3DfzyYi
MLCommons shares results from its MLPerf 4.0 training benchmarks, which added Google's and Intel's AI accelerators; Nvidia H100 GPUs topped all nine benchmarks (@samuelkmoore / IEEE Spectrum) https://t.co/Ww9lnzqGXL 📫 Subscribe: https://t.co/OyWeKSRpIM https://t.co/7qQodwQJBw
The NVIDIA accelerated computing platform, powered by NVIDIA Hopper GPUs and NVIDIA Quantum-2 InfiniBand networking, delivered exceptional AI training performance in the latest #MLPerf benchmarks. https://t.co/dKH5YAxFj6 https://t.co/MwBKYaCp0K
Learn how NVIDIA set new #generativeAI training performance records and continued to deliver the highest performance on every workload in the latest #MLPerf benchmarks. https://t.co/I7429cLpxB https://t.co/ZZHkHnov4w
Thanks @HPCwire for sharing our MLPerf Training 4.0 results https://t.co/pdw9OzwM4Y
#MLPerf Training 4.0 – @Nvidia Still King; Power and #LLM Fine Tuning Added Nvidia (currently king of accelerated computing) wins again, sweeping all nine “events” (workflows) as it were https://t.co/DFd7jlGbDD #AI #HPC via @HPCwire https://t.co/YpXCUXMLMn
Can someone explain what @realGeorgeHotz did here? MLPerf is a benchmark suite that is used to evaluate training and inference performance of on-premises and cloud platforms, usually used for Nvidia GPUs? So he got an AMD GPU to benchmark on an Nvidia benchmark meaning he… https://t.co/KnUanLWapo
👀 In #MLPerf Training v4.0, we set new #generativeAI training performance records and continued to deliver the highest performance on every workload✨🏆 Technical Deep Dive ➡️https://t.co/JokNZtD7D8 Performance delivered using the full stack of NVIDIA software and hardware. https://t.co/mOQXRAOzbM
13 months ago, we said we'd get AMD on MLPerf. Today, in MLPerf Training 4.0, we at @__tinygrad__ did it before @AMD could. https://t.co/wivM43cZDV
Congratulations @nvidia for your fantastic @MLCommons @MLPerf Training v4.0 results - Scaling to New Heights: NVIDIA MLPerf Training Results Showcase Unprecedented Performance and Elasticity https://t.co/OAW7DJ6lkN
📣 JUST IN: $NVDA NVIDIA Achieves Unmatched Performance in MLPerf Training Benchmarks $MSFT $AAPL $GOOGL $ARM $QCOM $INTC $AMD $TSLA $MU $SMCI $TSM 👉 Key Highlights: 📍 NVIDIA more than tripled LLM performance compared to last year. 📍 Achieved using 11,616 NVIDIA H100… https://t.co/tKusOZoLiN
Scaling to New Heights: NVIDIA MLPerf Training Results Showcase Unprecedented Performance and Elasticity -- https://t.co/IIjtQ3V3s2 #AI #MachineLearning #GenAI #LLM @NVIDIAAI