Nvidia’s Blackwell architecture isn’t just incrementally better than its predecessor. It’s operating in a different league entirely.
A new benchmark called AgentPerf shows that Blackwell systems can run 20 times more AI agents per megawatt than Nvidia’s Hopper generation. In English: the same amount of electricity that powered one AI agent on Hopper hardware can now power twenty on Blackwell.
The numbers behind the leap
The AgentPerf benchmark, introduced by Artificial Analysis under the name AA-AgentPerf in March 2026, measures real-world agent performance, evaluating concurrent users per accelerator and efficiency per rack.
The 20x agents-per-megawatt figure aligns with broader efficiency data from SemiAnalysis InferenceX, which reported in February 2026 that Blackwell’s GB300 NVL72 configuration achieves up to 50x higher throughput per megawatt compared to Hopper. That same report found a 35x reduction in cost per token for complex AI workloads like agentic reasoning.
