NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt
NVIDIA Vera Rubin and Blackwell set new performance-per-watt benchmarks for agentic AI workloads
“across 100 trillion tokens of real-world usage, OpenRouter's State of AI report found that average prompt tokens per request grew roughly fourfold”
NVIDIA is benchmarking its Vera Rubin and Blackwell chips specifically against agentic AI workloads, where multi-step reasoning and growing context windows are driving dramatic increases in token consumption. The framing signals a hardware generation designed around agent-era inference demands rather than single-turn throughput. This matters because efficiency-per-watt becomes a key differentiator as agentic deployments scale token usage fourfold.