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News
ModelExpress: Distributing Model Artifacts at the Speed of Light
1+ day, 14+ hour ago (805+ words) NVIDIA ModelExpress (MX) is built around a simple idea: Before loading a model, first ask where a compatible copy of its weights already lives. Rather than treating every replica as an independent cold start, MX chooses the fastest available source and…...
Start Customizing NVIDIA Nemotron 3 Nano with Prime Intellect Lab in Minutes
3+ day, 10+ hour ago (1607+ words) Set up hosted reinforcement learning in about five minutes, evaluate the baseline, and produce a downloadable LoRA adapter. Customization is what enables developers to take a general model and tailor it to use cases, domains, languages, and more. However, customization…...
Debugging Ray Tracing Applications Using NVIDIA OptiX Toolkit
2+ day, 14+ hour ago (1142+ words) NVIDIA OptiX ray tracing engine is an application framework for achieving optimal ray tracing performance on the GPU. Applications using OptiX can fail in ways that are difficult to diagnose: an invalid API argument, a black frame, or a GPU-side…...
Make Long-Running NVIDIA TensorRT Engine Builds Observable and Cancelable in Python or C++
3+ day, 14+ hour ago (589+ words) Every code block in this post is lifted from or modeled on two NVIDIA-maintained OSS samples: IProgressMonitor is an abstract base class that TensorRT calls during the engine build. You subclass it and override three methods. The shape is identical…...
Inside NVIDIA Rubin GPU Architecture: Powering the Era of Agentic AI
4+ day, 14+ hour ago (955+ words) What began as discrete AI model training and human-facing chat interfaces has evolved into always-on AI factories dedicated to producing intelligence at scale. These factories are now tasked with powering agentic workflows that reason, plan, use tools, verify intermediate results,…...
NVIDIA Vera CPU: Olympus Cores Built for Maximum Single-Thread Performance in Agentic AI
4+ day, 11+ hour ago (314+ words) Agentic AI shifts more of the critical execution path onto the CPU. Agents operate in sandboxes to execute code, invoke tools, retrieve context…...
NVIDIA NVLink: The Scale-Up Network for AI Factories
5+ day, 14+ hour ago (1194+ words) The demand for AI continues to accelerate. Workloads are getting larger, models are becoming more complex, and there is mounting pressure to deploy AI compute infrastructure faster than ever. AI factories—data center-scale systems that continuously convert data and energy…...
Integrate NVIDIA Omniverse RTX Sensor Simulation Into Existing Apps
5+ day, 15+ hour ago (1070+ words) Within the Omniverse libraries stack, ovstage provides a shared runtime stage for OpenUSD scene data, enabling libraries such as ovphysx and ovrtx to exchange simulation state, scene changes, and prim identities through a common data substrate. This post walks through…...
Q&A: How Capcom Brought Path Tracing to RE ENGINE Across PRAGMATA and Resident Evil Requiem
1+ week, 2+ day ago (834+ words) Capcom’s RE ENGINE team set out to bring path tracing into two shipping titles at once, Resident Evil Requiem and PRAGMATA, each with a different visual identity. Over two years, the RE ENGINE team built a reference path tracer, validated…...
Scaling Agentic AI Factories Through Extreme Co-Design with NVIDIA BlueField
1+ week, 5+ day ago (657+ words) This post explains how agentic AI and long-context inference drive new infrastructure demands, and how BlueField-4, Vera BlueField-4 STX, and DOCA address them by offloading, accelerating, and isolating infrastructure services across the AI factory data path. Agentic AI extends inference…...