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News
How Full-Stack NIM Optimizations Deliver 2.5x More Users on Nemotron 3 Ultra
3+ day, 30+ min ago (470+ words) How full-stack serving optimizations increase user capacity on a 4xB200 system at a concrete interactivity target Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as possible…...
Introducing CUDA Rust: Two Tracks for Writing GPU Kernels
1+ week, 1+ day ago (1308+ words) In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are mature, enterprise-grade toolchains, and NVIDIA will be growing and maturing CUDA Rust into 2027 and beyond The systems layer of AI spans…...
How to Size GPUs for AI Inference and TCO Without Overspending
1+ week, 5+ day ago (571+ words) Cutting through the noise starts with one deceptively simple question: What problem are you solving? Different use cases map to wildly different infrastructure footprints. At a high level, most inference workloads fall into one of these four buckets: After mapping…...
CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access
2+ week, 5+ day ago (1053+ words) For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain…...
How NVIDIA Groq 3 LPX Unlocks Ultrafast Interactivity at Long Context on NVIDIA Vera Rubin
2+ week, 6+ day ago (814+ words) Agentic sessions are characterized by multiturn inference. At the end of each turn, the agent’s output is appended to the continually growing context that is fed into all subsequent turns. As Figure 1 shows, context can grow to hundreds of thousands…...
NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories
2+ week, 6+ day ago (205+ words) North-south networks provide the access path into and out of a data center, connecting users, applications, data sources, storage systems, and services to individual systems. Traditional cloud data centers built these networks around software-defined infrastructure, composability, and elasticity, so resources…...
NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt
2+ week, 6+ day ago (443+ words) AgentX is the agentic-coding benchmark in InferenceX, SemiAnalysis’s open-source benchmark suite. It measures how efficiently accelerators serve the request patterns produced by real coding agents. Agentic sessions are long, stateful, and variable: they chain model calls, tool use, and growing…...
Solving Agentic AI Fleet Challenges with NVIDIA Vera CPU
3+ week, 1+ day ago (289+ words) The shape of an agentic trajectory is defined by its length and width (Figure 2). This is why the relevant optimization target for an agentic CPU fleet is the total number of completed user sessions, not raw core count. High-core-count systems…...
NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents
3+ week, 2+ day ago (1011+ words) The research project elevates Claude Opus 5 from a 30% model baseline to 100% as part of the complete AVO agent system, showing that system design—not model capability alone—can unlock frontier-level long-horizon performance This post introduces the AVO architecture and the…...
Developing NVIDIA Holoscan applications with CLI, skills, and AI coding agents
3+ week, 3+ day ago (1013+ words) NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a growing collection of reference applications and components that demonstrate what’s possible. We wanted to explore how…...