MLPerf Inference v6.1: pioneering agent, VLM benchmarks

This post details Lambda's MLPerf Inference v6.1 results, highlighting performance gains on NVIDIA Blackwell Ultra GPUs and HGX B200 systems. Key contributions include: 1) Leading Offline throughput on GPT-OSS 120B with 4 NVIDIA Blackwell Ultra GPUs, showing an 8.85% improvement over v6.0 due to stack optimizations. 2) The first agentic inference workload on datacenter hardware in MLPerf, using Kimi K2.6 (over a trillion parameters) on an NVIDIA HGX B200 system, demonstrating its capability with a novel open-division submission. 3) First benchmarking of Vision-Language Models (VLMs) on Lambda infrastructure with Qwen3-VL-235B-A22B-Instruct, showing significant speedups over v6.0.