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CUDA Toolkit 13.4 Adds Windows on Arm Support and Greater Control over Shared GPUs
3+ day, 16+ hour ago (1124+ words) Every NVIDIA CUDA Toolkit release adds functionality and performance improvements that help developers get more from NVIDIA GPUs and the broader NVIDIA software platform. CUDA Toolkit 13.4 adds support for Windows on Arm. CUDA applications have long been supported on Arm…...
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…...
How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents
2+ week, 3+ day ago (1465+ words) Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to continuously localize the robot, interpret changing surroundings, select a route, and avoid obstacles to reach a goal…...
CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access
2+ week, 5+ day ago (1398+ 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, and maintain bindings back to Python, which most people never did; or…...
NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt
2+ week, 5+ 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…...
How Generative Recommenders Are Redefining RecSys at Scale
3+ week, 4+ day ago (695+ words) In production, RecSys models are often served online to millions of users under strict service-level agreements (SLAs), where small increases in latency can impact user experience. Unlike LLM workloads that may tolerate autoregressive decoding latency, RecSys models must frequently retrieve…...
Evaluating AI Agent Skill Performance with NVIDIA SkillEvaluator
3+ week, 4+ day ago (972+ words) NVIDIA SkillEvaluator is an open source tool for measuring how skills affect agent performance through static checks and real-world task runs with and without each skill. NVIDIA verified Skills are packaged, signed capability descriptors that tell an agent exactly what…...
Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer
3+ week, 5+ day ago (1463+ words) Teams customize their models to hit their targets for latency, speed, memory, and compute. With the open NVIDIA Nemotron family of models, developers can find the right-sized model for their needs. The new Nemotron 3.5 Lightning NVFP4 checkpoint, for example, preserves accuracy…...