Benchmark
AgentX is a SemiAnalysis benchmark that replays real Claude Code agentic-coding sessions via AIPerf to measure AI chips' tokens per megawatt and latency.
Jalapeno's lead is measured against last generation and the volumes are tiny, but a first-pass ASIC clearing Nvidia, AMD and Google parts reprices the design barrier, not the supply chain.
Perspective Coverage
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MLPerf Inference v6.1 preview submissions put Vera Rubin NVL72 at up to 3.7x GB300 on Qwen3-VL and up to 2.5x on DeepSeek-R1, on two different inference frameworks. The four-rack 99% scaling result is an offline number.
Reality
SemiAnalysis says its AgentX benchmark clocked Nvidia's Vera Rubin NVL72 at up to seven times Blackwell's token throughput per megawatt on pre-release software, and puts the profit gain at over two times per gigawatt.
Reality
OpenAI published a benchmark win on three large models, but the figure a GPU vendor has to price is the 10-gigawatt Broadcom program running through 2029, with racks targeted from the second half of 2026.
Reality
SemiAnalysis's AgentX replays recorded coding-agent sessions instead of fixed prompts. On that traffic, the reported Nvidia-AMD cost gap grows as the interactivity target rises.
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SemiAnalysis has pushed fixed-length serving into maintenance mode. On replayed Claude Code traffic, NVIDIA's GB300 is credited with 15x Hopper, against 40x over H200 on the retired static test.
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