CoreWeave's Innovation Velocity Drives in MLPerf 6.0 Leadership

This post details CoreWeave's performance leadership in MLPerf 6.0, specifically highlighting throughput gains on NVIDIA GB300 NVL72 and GB200 NVL72 systems for models like DeepSeek R1 and GPT-OSS-120B. It quantifies performance improvements, such as doubling throughput in server mode for DeepSeek R1 on GB300 NVL72 compared to MLPerf 5.1, and a 1.6x improvement in offline mode. It also shows a 14% improvement in server mode and 34% in offline mode for DeepSeek R1 when comparing GB300 NVL72 to GB200 NVL72, and up to 28% higher throughput for GPT-OSS-120B in server mode when comparing GB300 NVL72 to GB200 NVL72. The post also elaborates on CoreWeave's inference product offerings (Serverless, Dedicated, and CKS) and their shared architectural foundation.