Analysis Nvidia offered the first look at how its upcoming Blackwell accelerators stack up against the venerable H100 in real-world training workloads, claiming up to 2.2x higher performance. The benchmarks, released as part of this week’s… Article Source https://www.theregister.com/2024/11/13/nvidia_b200_performance/
Generative AI applications that use text, computer code, protein chains, summaries, video and even 3D graphics require data-center-scale accelerated computing to efficiently train the large language models (LLMs) that power them. In MLPerf… Article Source https://blogs.nvidia.com/blog/mlperf-training-blackwell/
NVIDIA has shared the first benchmarks of its Blackwell GPUs in MLPerf v4.1 AI Training workloads, delivering a 2.2x gain over Hopper. NVIDIA Demolishes The Competition With Blackwell GPUs, Delivering Up To A 2.2x Gain In… Article Source https://wccftech.com/nvidia-blackwell-2-2x-faster-hopper-mlperf-ai-training-benchmarks-new-world-records/
High-performance storage – A key component in enterprise AI infrastructureAs enterprises adopt AI (including generative AI or genAI), having a fast and efficient data storage system becomes critical. AI workloads are evolving, and many enterprises still focus on training AI models, inference (interacting and using a model) and tuning (updating an existing model and augmenting … Read more