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Tracing Agent Harness Behavior with NVIDIA NeMo Relay

Illustration of a developer at code screens, with a camera and Nous logo beside task success panels showing 70% and 81%.An agent can finish a task and still take an inefficient path. A failed search can trigger another search. A truncated file read can lead to a command fetching…Illustration of a developer at code screens, with a camera and Nous logo beside task success panels showing 70% and 81%.

An agent can finish a task and still take an inefficient path. A failed search can trigger another search. A truncated file read can lead to a command fetching the same content again. A correct final answer hides those extra steps, even though they increase latency and consume tokens. Inefficiencies create more chances for failure. To improve an agent’s behavior…

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From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AI

Building on nearly a decade of co-engineering, CoreWeave has built NVIDIA compute, networking and software into a cloud purpose-built for AI that’s still returning on investment across multiple generations of deployment. Now, CoreWeave is bringing the next generation of NVIDIA infrastructure to production. At CoreWeave Fully Connected, running this week in San Francisco, CoreWeave announced […]

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Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning

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AI Native by Design: Lessons Learned from Building NVIDIA TensorRT Model Connect

Parallel work, model-family isolation, reversible changes, and GPU-backed validation shaped an open source project designed around coding agents NVIDIA TensorRT…

Parallel work, model-family isolation, reversible changes, and GPU-backed validation shaped an open source project designed around coding agents NVIDIA TensorRT Model Connect is an open source collection of AI model reference implementations in C++, built on top of NVIDIA TensorRT. It began with a practical question: could the performance of the NVIDIA inference stack be made accessible to…

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Lower the Cost of Building and Running Visual AI Agents with NVIDIA VSS Blueprint 3.3

Vision-language models have made it possible to build visual AI agents that understand video at production scale. The harder problem is turning that capability…

Vision-language models have made it possible to build visual AI agents that understand video at production scale. The harder problem is turning that capability into a maintainable system that combines ingestion, stream processing, event detection, retrieval, summarization, and reporting. The NVIDIA Metropolis Blueprint for Video Search and Summarization (VSS) and its agent skills help…

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NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction

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Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents

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NVIDIA Announces a $150 Billion Share Repurchase Authorization Increase

NVIDIA today announced that its Board of Directors has authorized an additional $150 billion under the company’s existing share repurchase program, increasing the total remaining amount authorized to $235 billion.

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NVIDIA Open Agent Safety Platform: A Reference for Continuous In-Silicon Agent Monitoring

To understand where agentic AI stands today, consider the last seismic shift in technology: the rise of the internet in the 90s. It was new and full of…

To understand where agentic AI stands today, consider the last seismic shift in technology: the rise of the internet in the 90s. It was new and full of possibilities. You could build a website over a weekend and share it with the world, or chat with someone half way around the world in online chat rooms without long-distance telephone fees. It brought endless opportunity, but also a lot of risk.

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NVIDIA Launches Open Agent Safety Platform to Secure Agents From Testing to Deployment

NVIDIA today announced NVIDIA Open Agent Safety Platform, an open software platform and reference system design to strengthen AI security from agent testing to deployment, with full-stack governance and control across software and the hardware, compute and robotics systems that run agents.