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NishMath
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Nvidia's Blackwell architecture is taking the AI world by storm, showcasing unprecedented performance in the latest MLPerf Training benchmarks. The NVIDIA AI platform has demonstrated its dominance by achieving the highest performance at scale across all benchmarks, solidifying its position as a leader in AI training. This achievement highlights Nvidia's commitment to providing the tools and infrastructure necessary for building and deploying next-generation AI applications, which leverage the most recent advancements in training and inference.
The Blackwell architecture particularly shines in pretraining large language models (LLMs), such as Llama 3.1 405B, where it delivered significantly greater performance compared to previous-generation architectures at the same scale. The at-scale submissions utilized powerful AI supercomputers, including Tyche, built with NVIDIA GB200 NVL72 rack-scale systems, and Nyx, based on NVIDIA DGX B200 systems. Furthermore, collaboration with CoreWeave and IBM resulted in impressive GB200 NVL72 results, utilizing a substantial number of Blackwell GPUs and NVIDIA Grace CPUs.
These performance breakthroughs are attributed to advancements in the Blackwell architecture, which includes features like high-density liquid-cooled racks, substantial coherent memory per rack, and fifth-generation NVIDIA NVLink and NVLink Switch interconnect technologies. The NVIDIA NeMo Framework software stack further enhances multimodal LLM training, which is crucial for bringing agentic AI applications to market. These agentic AI-powered applications are envisioned to run in AI factories, driving the AI economy by producing valuable intelligence across various industries and academic domains.
ImgSrc: blogs.nvidia.co
References :
The Blackwell architecture particularly shines in pretraining large language models (LLMs), such as Llama 3.1 405B, where it delivered significantly greater performance compared to previous-generation architectures at the same scale. The at-scale submissions utilized powerful AI supercomputers, including Tyche, built with NVIDIA GB200 NVL72 rack-scale systems, and Nyx, based on NVIDIA DGX B200 systems. Furthermore, collaboration with CoreWeave and IBM resulted in impressive GB200 NVL72 results, utilizing a substantial number of Blackwell GPUs and NVIDIA Grace CPUs.
These performance breakthroughs are attributed to advancements in the Blackwell architecture, which includes features like high-density liquid-cooled racks, substantial coherent memory per rack, and fifth-generation NVIDIA NVLink and NVLink Switch interconnect technologies. The NVIDIA NeMo Framework software stack further enhances multimodal LLM training, which is crucial for bringing agentic AI applications to market. These agentic AI-powered applications are envisioned to run in AI factories, driving the AI economy by producing valuable intelligence across various industries and academic domains.
ImgSrc: blogs.nvidia.co
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References :
- NVIDIA Newsroom: NVIDIA Blackwell Delivers Breakthrough Performance in Latest MLPerf Training Results
- NVIDIA Technical Blog: NVIDIA Blackwell Delivers up to 2.6x Higher Performance in MLPerf Training v5.0
- IEEE Spectrum: Nvidia’s Blackwell Conquers Largest LLM Training Benchmark
- NVIDIA Technical Blog: Reproducing NVIDIA MLPerf v5.0 Training Scores for LLM Benchmarks
- AI News | VentureBeat: Nvidia says its Blackwell chips lead benchmarks in training AI LLMs