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News
How Full-Stack NIM Optimizations Deliver 2.5x More Users on Nemotron 3 Ultra
3+ day, 21+ hour 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…...
From Wafer-Out to First Token: Codifying Supply Chain Expertise with Nemotron and Palantir Foundry
4+ day, 8+ hour ago (1065+ words) With highly dynamic availability, NVIDIA must decide what and how much material to allocate to each manufacturing site. This is known as the critical material allocation problem, and it is manually reworked every week. The allocation runs through the current…...
Introducing CUDA Rust: Two Tracks for Writing GPU Kernels
1+ week, 2+ 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, 6+ 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…...
Run NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science
1+ week, 6+ day ago (767+ words) NVIDIA BioNeMo Agent Toolkit closes that gap. The toolkit packages more than a decade of NVIDIA BioNeMo life sciences models, libraries, and workflows into agent-callable skills for biology, chemistry, genomics, and drug discovery. Built to run with any agent framework,…...
How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents
2+ week, 4+ 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, 6+ 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, 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, 2+ 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…...
GPU-Accelerated Clustering for Financial Instruments at Scale
3+ week, 2+ day ago (840+ words) The practical difficulty is that the right groupings are neither directly observable nor stable. Factor exposures drift, instruments change classifications, and dependencies can change sharply during market stress. A clustering pipeline must therefore separate routine variation from structural change and…...