Measuring the impact of AI agents isn’t just a box to check — it’s essential to maximizing investment. The way users define success will directly shape how well these systems deliver value. Too often, businesses deploy agents without a clear measurement framework, making it difficult to prove return on investment or identify areas for improvement. When setting up an evaluation strategy, users should consider which metrics matter most for their goals. For example: Adoption and engagement: Track whether the technology is being embraced. Metrics include how many eligible users interact with the a
Nemotron Labs: 6 Ways AI Agents Are Raising Team Performance — and How to Measure It… In the first round of published results, the NVIDIA Blackwell Ultra NVL72 platform delivers leading performance across the agentic AI workloads tested, running 20x more agents per megawatt than NVIDIA Hopper. Agentic AI is a fundamentally different workload than conversational AI. …
… AI agents need a CPU designed for max single-threaded performance at scale. A max single-threaded CPU at scale keeps each agent step fast while the system is fully loaded. Every core completes the agent task at full performance without other cores slowing it down. …
… Our work with NVIDIA shows that enterprises can get strong performance from an open stack while keeping control over the agent systems they are building.” Abridge, Amdocs and Box are embedding specialized agents directly into their platforms and global systems integrator EY is expanding its NVIDIA … …
… 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 code generation, testing and deployment. …
… The release lands NemoClaw, NVIDIA’s agentic AI framework , on the production-grade Jetson stack — taking agentic AI from servers and workstations into the physical world, across robotics, inspection and industrial automation. “Agentic AI is here, and Jetson’s programmability and high performance e… …
… ComfyUI gains a new classifier-free guidance method for up to 2x performance on two equivalent GPUs, plus the option to split model chains across GPUs to take advantage of the combined memory. NVIDIA is also expanding agent capabilities with H Company . …
… Categories: AI Infrastructure Tags: Agentic AI AI Factory NVIDIA Blackwell NVIDIA Rubin Related News NVIDIA Vera CPU Is ‘Packing a Heavy-Hitting Punch’ Against Competition The shift to agentic AI creates a new CPU requirement for the AI factory: fast cores, massive memory bandwidth and the ability … …
… To see how developers can build and deploy video analytics AI agents, watch this technical walkthrough on using NVIDIA VSS skills with coding agents . Explore NVIDIA agent skills and blueprints to build, operate and optimize video analytics AI agents . …
… Get Started Onboarding AI Agents The best AI agents are not one-size-fits-all. They’re custom-trained, purpose-built and continuously learning. Business leaders can start their AI agent onboarding process by asking: What business outcomes do we want AI to drive? …
… RTX Spark is a new beginning, powering the world’s first Windows PCs purpose-built for personal agents, with 1 petaflop of AI performance, up to 128GB of unified memory, all-day battery life, and full AI and graphics performance unplugged. …
