AA-AgentPerf is a hardware benchmark created by Artificial Analysis that measures the number of concurrent AI agents an inference system can support while meeting predefined, model-specific performance service level objective (SLO) tiers. An SLO is defined as a specific threshold of output token speed and time-to-first-token (TTFT). The benchmark results are normalized per accelerator and per megawatt to enable comparison across hardware configurations.
NVIDIA Achieves Leading Agentic Coding Performance on First Agentic AI Benchmark | NVIDIA Technical Blog…For AI factories, this translates into better performance per watt, lower operating costs, and more efficient use of power and cooling infrastructure. The AI factory CPU for agents The era of agentic…
…NVIDIA has helped H Company optimize their new models and harness to deliver over 2x performance on NVIDIA GPUs. How are NVIDIA and the OSS community accelerating inference for local agentic AI…
…Here are six ways agentic AI boosts team performance — and practical tips for measuring its impact. 1. Accelerating Software Development With AI Agents AI agents can act as intelligent copilots, helping automate…
Agentic AI Needs Rack-Scale CPU Performance – AMD EPYC Delivers It Today Jun 09, 2026 Agentic AI is changing the shape of infrastructure. As enterprises move from isolated AI experiments to production…
…R&D teams beyond task agents, transforming time-consuming chip verification and thermal simulation into automated insight delivery, engineering productivity, and system performance improvement engines. "AI is fundamentally reshaping engineering, and Synopsys…
…Nvidia says that the incredible efficiency of the RTX Spark platform “transforms what a high-performance laptop looks like,” so buyers in the promised agentic AI age will no longer need to…
…Jetson AGX Orin 32GB also gets a performance boost to 241 TOPS of AI compute, up 20% above its original spec. The middle layer — agent skills— accelerates the work of building a…
NVIDIA has enabled DGX Station users to run personal AI agents locally through its NVIDIA Agent Toolkit, which can be set up in just three steps. DGX Station With GB300 Is A…
…Powering agents on local devices requires both robust security and performant hardware. RTX Spark features up to 1 petaflop of AI compute and 128GB of unified memory to meet the processing demands…
…Software-orchestrated and comprised of autonomous, multi-agent systems that run continuously, they produce intelligence around the clock. Agentic systems reason and plan with the best-performing AI models, proprietary and open…
