NVIDIA GB300 Dominates Agentic AI Workloads With 20x Performance Leap Over Hopper As Rubin Nears Launch

NVIDIA GB300 Dominates Agentic AI Workloads With 20x Performance Leap Over Hopper As Rubin Nears Launch

By Hassan Mujtaba
Publication Date: 2026-06-14 12:25:00

NVIDIA’s Blackwell GB300 has posted record performance in AA-AgentPerf, a new benchmark that measures Agentic AI workflows.

NVIDIA Blackwell Ultra GB300 is 20 Times Faster Than Hopper In Agentic AI, Records Highest Performance In Latest Benchmarks

Artificial Analysis has a new benchmark out called AA-AgentPerf, which measures how many active agents an inference deployment can support under realistic workloads, which include:

  • Real agentic trajectories — multi-turn coding sessions with interleaved reasoning, tool calls, and variable context lengths (not synthetic uniform prompts).
  • Sustained concurrent load — simulated agents maintain continuous in-flight requests, stressing KV cache reuse, speculative decoding, and scheduler behavior.
  • Market-derived SLO tiers — performance thresholds based on Artificial Analysis serverless API benchmarking data, reflecting quality-of-service levels observed across providers.
  • Continuously updated — results are updated on an ongoing basis as new hardware, software stacks, and model versions become available.
  • Production-ready — models are tested with realistic optimizations enabled and production-scale deployment topologies.

The AA-AgentPerf benchmark is used to measure three key metrics, which form the basis of modern-day AI deployments, such as:

  • Time to First Token (TTFT): Per-request latency from sending the request to receiving the first output token.
  • Output…