CoreWeave, NVIDIA and IBM Submit Largest-Ever MLPerf Results on NVIDIA GB200 Grace Blackwell Superchips
Submission with nearly 2,500 NVIDIA GB200 GPUs achieved breakthrough results on most complex benchmarking model
The submission achieved a breakthrough result on the largest and most complex foundational model in the benchmarking suite–Llama 3.1 405B–completing the run in just 27.3 minutes. When compared against submissions from other participants across similar cluster sizes, CoreWeave's GB200 cluster achieved more than 2x faster training performance. This result highlights the significant performance leap enabled by the GB200 NVL72 architecture and the strength of CoreWeave's infrastructure in delivering consistent, best-in-class AI workload performance.
"AI labs and enterprises choose CoreWeave because we deliver a purpose-built cloud platform with the scale, performance, and reliability that their workloads demand," said
These results matter because they translate directly to faster model development cycles and an optimized Total Cost of Ownership. For CoreWeave customers, that means cutting training time in half, scaling workloads efficiently, and training or deploying their models more cost-effectively by leveraging the latest cloud technologies, months before their competitors. With leading submissions for both MLPerf Inference v5.0 and Training v5.0 benchmarks and the sole cloud provider ranked in the Platinum tier of SemiAnalysis' ClusterMAX, CoreWeave sets the standard for AI infrastructure performance across the entire cloud stack.
About CoreWeave
CoreWeave, the AI Hyperscaler™, delivers a cloud platform of cutting-edge software powering the next wave of AI. The company's technology provides enterprises and leading AI labs with cloud solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers across the US and
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SOURCE CoreWeave