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Nvidia Technical Blog

AI Reasoning at Scale Try out DeepSeek-R1’s reasoning capabilities with NVIDIA-hosted APIs or deploy it anywhere with NVIDIA NIM inference microservices. Accelerate Apache Spark ML on NVIDIA GPUs with Zero Code Change How Using a Reranking Microservice Can Improve Accuracy and Costs of Information Retrieval Superchar

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News

NVIDIA Technical Blog
developer.nvidia.com > blog > how-full-stack-nim-optimizations-deliver-2-5x-more-users-on-nemotron-3-ultra

How Full-Stack NIM Optimizations Deliver 2.5x More Users on Nemotron 3 Ultra

2+ day, 18+ 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…...

NVIDIA Technical Blog
developer.nvidia.com > blog > introducing-cuda-rust-two-tracks-for-writing-gpu-kernels

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…...

NVIDIA Technical Blog
developer.nvidia.com > blog > building-an-adaptive-agentic-cybersecurity-system-with-nvidia-nemotron

Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron

1+ week, 4+ day ago   (324+ words) Continuous offense-defense testing creates this feedback loop. Controlled attacks produce the telemetry and ground truth defensive agents need to expose gaps, improve coverage, and retest. However, the end-to-end cycle still requires significant manual effort. Could red and blue agents powered…...

NVIDIA Technical Blog
developer.nvidia.com > blog > how-to-size-gpus-for-ai-inference-and-tco-without-overspending

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…...

NVIDIA Technical Blog
developer.nvidia.com > blog > scale-av-perception-across-vehicle-platforms-with-nvidia-omniverse-nurec

Scale AV Perception Across Vehicle Platforms with NVIDIA Omniverse NuRec

2+ week, 1+ day ago   (1227+ words) Collecting and labeling a new real-world dataset for every carline is expensive and may not be possible early in vehicle development. New fleets may not be available, and rare conditions can’t always be captured. Real-world driving data remains essential for…...

NVIDIA Technical Blog
developer.nvidia.com > blog > run-nvidia-bionemo-nim-microservices-for-protein-structure-prediction-in-claude-science

Run NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science

1+ week, 5+ 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,…...

NVIDIA Technical Blog
developer.nvidia.com > blog > how-to-train-a-cross-embodiment-robot-navigation-policy-with-ai-agents

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…...

NVIDIA Technical Blog
developer.nvidia.com > blog > cuda-python-1-0-stable-apis-one-foundation-full-platform-access

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 Technical Blog
developer.nvidia.com > blog > nvidia-bluefield-4-powers-new-scale-in-network-infrastructure-for-agentic-ai-factories

NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories

2+ week, 5+ 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 Technical Blog
developer.nvidia.com > blog > nvidia-vera-rubin-and-blackwell-set-a-new-standard-for-agentic-ai-performance-per-watt

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…...