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CoreWeave Leads MLPerf 0.7 Endpoints Benchmark with DeepSeek-R1

CoreWeave posted the leading per-GPU DeepSeek-R1 throughput among NVIDIA GB200 NVL72 submissions in the inaugural MLPerf 0.7 Endpoints benchmark, tested on production infrastructure.

Why It Matters

Expands physical compute availability and physical AI world models, enabling real-time autonomous robotics and low-latency edge intelligence.

Implications

  • Lowers energy use and cost per token at massive datacenter and edge training scales.
  • Solidifies NVIDIA's compute and networking interconnect (NVLink/Spectrum-X) moat across hardware clusters.

Strategic Outlook

Highlights that the speed of AI progress remains directly bound to silicon manufacturing cycles, energy capacity, and physical world modeling.

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