3 results for “MLPerf”
NVIDIA says TensorRT Edge-LLM ran Qwen3.6-27B through the MLPerf Edge Agentic workload in 24 minutes 36 seconds on one Jetson AGX Thor. The 6.4x gap over llama.cpp puts long-context agent inference on edge.
NVIDIA submitted its first MLPerf Inference v6.1 preview results for Vera Rubin NVL72, showing up to 3.7x higher throughput than GB300 NVL72 on Qwen3-VL. The numbers signal a leap for rack-scale inference on MoE models.
NVIDIA's Vera Rubin NVL72 achieves up to 30x higher throughput per megawatt than GB300 NVL72 on the SemiAnalysis AgentX benchmark, which replays real coding-agent sessions. The gain comes from rack-scale co-design across GPUs, CPUs, NVLink fabric, and the Dynamo serving stack for agentic AI workloads.