{ "version": "https://jsonfeed.org/version/1.1", "title": "AI News: NVIDIA Developer", "home_page_url": "https://ai-news.ypetit.net/sources/nvidia-developer/", "feed_url": "https://ai-news.ypetit.net/feed/source/nvidia-developer.json", "description": "Latest publications from NVIDIA Developer, aggregated by AI News from the official source.", "language": "en", "items": [ { "id": "https://developer.nvidia.com/blog/scaling-nvidia-tensorrt-performance-optimization-beyond-a-single-build-route-with-the-global-performance-tuner-part-2/", "url": "https://developer.nvidia.com/blog/scaling-nvidia-tensorrt-performance-optimization-beyond-a-single-build-route-with-the-global-performance-tuner-part-2/", "title": "NVIDIA Developer: Scaling NVIDIA TensorRT Performance Optimization Beyond a Single Build Route with the Global Performance Tuner, Part 2", "summary": "The Global Performance Tuner is a feature for automatic performance tuning released in NVIDIA TensorRT 11.1. It provides automatic, accuracy-aware and... The Global Performance Tuner is a feature for automatic performance tuning released in NVIDIA TensorRT 11.1. It provides au…", "date_published": "2026-10-23T17:27:52.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/scaling-nvidia-tensorrt-performance-optimization-beyond-a-single-build-route-with-the-global-performance-tuner-part-1/", "url": "https://developer.nvidia.com/blog/scaling-nvidia-tensorrt-performance-optimization-beyond-a-single-build-route-with-the-global-performance-tuner-part-1/", "title": "NVIDIA Developer: Scaling NVIDIA TensorRT Performance Optimization Beyond a Single Build Route with the Global Performance Tuner, Part 1", "summary": "Deploying a trained neural network involves more than translating each operator into a GPU kernel. It is a compilation problem with many legitimate answers. For... Deploying a trained neural network involves more than translating each operator into a GPU kernel. It is a compil…", "date_published": "2026-10-23T17:27:35.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/using-ai-agents-to-teach-robots-like-microduck-to-walk-in-simulation/", "url": "https://developer.nvidia.com/blog/using-ai-agents-to-teach-robots-like-microduck-to-walk-in-simulation/", "title": "NVIDIA Developer: Using AI Agents to Teach Robots Like Microduck to Walk in Simulation", "summary": "Teaching a robot to navigate an obstacle course requires more than a walking policy. It must perceive its surroundings, maintain balance, and adjust its actions... Teaching a robot to navigate an obstacle course requires more than a walking policy. It must perceive its surroun…", "date_published": "2026-10-23T14:58:32.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/how-to-read-data-into-gpu-memory-in-python-with-nvidia-gpudirect-storage/", "url": "https://developer.nvidia.com/blog/how-to-read-data-into-gpu-memory-in-python-with-nvidia-gpudirect-storage/", "title": "NVIDIA Developer: How to Read Data into GPU Memory in Python with NVIDIA GPUDirect Storage", "summary": "GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI... GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 202…", "date_published": "2026-10-22T16:39:09.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/running-frontier-class-ai-models-across-8-nvidia-dgx-spark-nodes/", "url": "https://developer.nvidia.com/blog/running-frontier-class-ai-models-across-8-nvidia-dgx-spark-nodes/", "title": "NVIDIA Developer: Running Frontier-Class AI Models Across 8 NVIDIA DGX Spark Nodes", "summary": "AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining inference calls, and experimenting... AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining infer…", "date_published": "2026-10-22T16:00:00.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/design-proteins-with-rfd4-proteina-using-reward-guided-inference-time-search/", "url": "https://developer.nvidia.com/blog/design-proteins-with-rfd4-proteina-using-reward-guided-inference-time-search/", "title": "NVIDIA Developer: Design Proteins with RFD4-Proteina Using Reward-Guided Inference-Time Search", "summary": "Protein design is a search problem. Choose amino acids for an eight-residue protein sequence and more than 25 billion combinations are possible. Choose amino... Protein design is a search problem. Choose amino acids for an eight-residue protein sequence and more than 25 billio…", "date_published": "2026-10-21T12:30:00.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/inside-nvidia-sentry-secure-ai-agents-at-runtime/", "url": "https://developer.nvidia.com/blog/inside-nvidia-sentry-secure-ai-agents-at-runtime/", "title": "NVIDIA Developer: Inside NVIDIA Sentry: Secure AI Agents at Runtime", "summary": "An AI agent can complete its assignment and still cross a security boundary. Recent incidents show that agents can circumvent security controls while using... An AI agent can complete its assignment and still cross a security boundary. Recent incidents show that agents can cir…", "date_published": "2026-10-21T09:52:16.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/how-nvidia-openshell-reference-architecture-secures-and-governs-ai-agent-workloads-at-scale/", "url": "https://developer.nvidia.com/blog/how-nvidia-openshell-reference-architecture-secures-and-governs-ai-agent-workloads-at-scale/", "title": "NVIDIA Developer: How NVIDIA OpenShell Reference Architecture Secures and Governs AI Agent Workloads at Scale", "summary": "Autonomous agents can work for hours on complex tasks, accessing files, tools, the internet, and spawning other agents to collaborate with. Executing complex... Autonomous agents can work for hours on complex tasks, accessing files, tools, the internet, and spawning other agen…", "date_published": "2026-10-21T09:50:14.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/developing-an-ai-factory-digital-twin-with-an-agent-assisted-workflow/", "url": "https://developer.nvidia.com/blog/developing-an-ai-factory-digital-twin-with-an-agent-assisted-workflow/", "title": "NVIDIA Developer: Developing an AI Factory Digital Twin with an Agent-Assisted Workflow", "summary": "Building an AI factory digital twin requires developers to bring site plans, equipment assets, and engineering requirements into a consistent model that teams... Building an AI factory digital twin requires developers to bring site plans, equipment assets, and engineering requ…", "date_published": "2026-10-21T09:38:49.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/achieve-productive-ai-capacity-faster-and-more-predictably-with-nvidia-dsx-pod/", "url": "https://developer.nvidia.com/blog/achieve-productive-ai-capacity-faster-and-more-predictably-with-nvidia-dsx-pod/", "title": "NVIDIA Developer: Achieve Productive AI Capacity Faster and More Predictably with NVIDIA DSX POD", "summary": "AI factories turn energy into intelligence. But before an AI workload can produce its first token, operators must bring an interconnected system of compute,... AI factories turn energy into intelligence. But before an AI workload can produce its first token, operators must bri…", "date_published": "2026-10-21T09:35:32.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/accelerating-mamba-2-with-high-performance-forward-pass-kernels-in-nvidia-cuda-tile/", "url": "https://developer.nvidia.com/blog/accelerating-mamba-2-with-high-performance-forward-pass-kernels-in-nvidia-cuda-tile/", "title": "NVIDIA Developer: Accelerating Mamba-2 with High-Performance Forward Pass Kernels in NVIDIA CUDA Tile", "summary": "NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically leverages advanced hardware capabilities to... NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically le…", "date_published": "2026-10-19T17:00:00.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/code-test-and-deploy-on-one-machine-with-nvidia-rtx-spark/", "url": "https://developer.nvidia.com/blog/code-test-and-deploy-on-one-machine-with-nvidia-rtx-spark/", "title": "NVIDIA Developer: Code, Test, and Deploy on One Machine with NVIDIA RTX Spark", "summary": "AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to directing agents that write most of the code. As... AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to d…", "date_published": "2026-10-16T17:00:00.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/nvidia-nemotron-3-5-super-vl-powers-specialized-agents-with-multimodal-reasoning/", "url": "https://developer.nvidia.com/blog/nvidia-nemotron-3-5-super-vl-powers-specialized-agents-with-multimodal-reasoning/", "title": "NVIDIA Developer: NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning", "summary": "Always-on agents are taking on longer, more complex enterprise workflows. A single request can involve reading a document, checking information across sources,... Always-on agents are taking on longer, more complex enterprise workflows. A single request can involve reading a d…", "date_published": "2026-10-15T18:01:00.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/scale-agentic-coding-workflows-with-metas-muse-spark-open-on-nvidia-gb300-nvl72/", "url": "https://developer.nvidia.com/blog/scale-agentic-coding-workflows-with-metas-muse-spark-open-on-nvidia-gb300-nvl72/", "title": "NVIDIA Developer: Scale Agentic Coding Workflows with Meta’s Muse Spark Open on NVIDIA GB300 NVL72", "summary": "Meta launches Muse Spark Open, a coding-optimized 816B mixture-of-experts (MoE) model with 42B active parameters and a 1M token context window. Trained on... Meta launches Muse Spark Open, a coding-optimized 816B mixture-of-experts (MoE) model with 42B active parameters and a …", "date_published": "2026-10-15T18:00:01.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/optimizing-agent-reliability-and-tool-calling-efficiency-for-chip-design-using-nvidia-nemo-gym/", "url": "https://developer.nvidia.com/blog/optimizing-agent-reliability-and-tool-calling-efficiency-for-chip-design-using-nvidia-nemo-gym/", "title": "NVIDIA Developer: Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym", "summary": "AI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible yet incorrect artifacts makes... AI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible ye…", "date_published": "2026-10-14T16:10:45.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/rewrite-apache-spark-udfs-gpu-acceleration-ai-agents/", "url": "https://developer.nvidia.com/blog/rewrite-apache-spark-udfs-gpu-acceleration-ai-agents/", "title": "NVIDIA Developer: How to Rewrite Apache Spark UDFs for GPU Acceleration with AI Agents", "summary": "Enterprise applications have become increasingly demanding. Agentic AI has compounded the need for vast amounts of enterprise data with frequent, complex... Enterprise applications have become increasingly demanding. Agentic AI has compounded the need for vast amounts of enter…", "date_published": "2026-10-13T21:33:21.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/nvidia-runai-is-now-open-source-as-part-of-nvidia-dsx-ai-factory-platform/", "url": "https://developer.nvidia.com/blog/nvidia-runai-is-now-open-source-as-part-of-nvidia-dsx-ai-factory-platform/", "title": "NVIDIA Developer: NVIDIA Run:ai Is Now Open Source as Part of NVIDIA DSX AI Factory Platform", "summary": "NVIDIA is making the full NVIDIA Run:ai platform available as open source software, giving customers, developers, and ecosystem partners access to... NVIDIA is making the full NVIDIA Run:ai platform available as open source software, giving customers, developers, and ecosystem…", "date_published": "2026-10-13T14:19:40.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/replayssm-rethinking-state-storage-for-faster-hybrid-model-decoding/", "url": "https://developer.nvidia.com/blog/replayssm-rethinking-state-storage-for-faster-hybrid-model-decoding/", "title": "NVIDIA Developer: ReplaySSM: Rethinking State Storage for Faster Hybrid-Model Decoding", "summary": "Hybrid models interleave state-space model (SSM) layers with a few attention layers. NVIDIA Nemotron 3, Qwen3.5 through Qwen3.8, Kimi-K3, and GLM-5.3-Flash are... Hybrid models interleave state-space model (SSM) layers with a few attention layers. NVIDIA Nemotron 3, Qwen3.5 th…", "date_published": "2026-10-12T16:00:54.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/5-steps-to-create-simready-assets-for-robotics-with-frontier-ai-models/", "url": "https://developer.nvidia.com/blog/5-steps-to-create-simready-assets-for-robotics-with-frontier-ai-models/", "title": "NVIDIA Developer: 5 Steps to Create SimReady Assets for Robotics with Frontier AI Models", "summary": "Preparing CAD assets for robotics simulation requires more than converting geometry to OpenUSD: developers must configure and validate materials, collision... Preparing CAD assets for robotics simulation requires more than converting geometry to OpenUSD: developers must config…", "date_published": "2026-10-08T20:57:55.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/building-reliable-data-analytics-agents-lessons-from-the-kdd-cup/", "url": "https://developer.nvidia.com/blog/building-reliable-data-analytics-agents-lessons-from-the-kdd-cup/", "title": "NVIDIA Developer: Building Reliable Data Analytics Agents: Lessons from the KDD Cup", "summary": "The NVIDIA KGMON team placed second in the KDD Cup 2026 Data Agents competition with a system built around a simple idea of making an agent's harness smaller,... The NVIDIA KGMON team placed second in the KDD Cup 2026 Data Agents competition with a system built around a simple…", "date_published": "2026-10-08T18:30:02.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/the-machines-that-make-the-machines/", "url": "https://developer.nvidia.com/blog/the-machines-that-make-the-machines/", "title": "NVIDIA Developer: The Machines that Make the Machines", "summary": "How we taught robots to assemble GB300 tester trays and what it taught us about robot learning, mechanical intelligence, and good old-fashioned engineering The... How we taught robots to assemble GB300 tester trays and what it taught us about robot learning, mechanical intelli…", "date_published": "2026-10-07T18:21:03.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/validate-ai-factory-changes-with-digital-twins-and-ai-agents/", "url": "https://developer.nvidia.com/blog/validate-ai-factory-changes-with-digital-twins-and-ai-agents/", "title": "NVIDIA Developer: Validate AI Factory Changes with Digital Twins and AI Agents", "summary": "AI factories are some of the most complex operations in the world, combining GPUs, CPUs, switches, DPUs, and SuperNICs alongside schedulers, orchestration... AI factories are some of the most complex operations in the world, combining GPUs, CPUs, switches, DPUs, and SuperNICs …", "date_published": "2026-10-07T16:00:00.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/scaling-decision-optimization-to-100-million-variables-and-beyond-with-mpdlp-in-nvidia-cuopt/", "url": "https://developer.nvidia.com/blog/scaling-decision-optimization-to-100-million-variables-and-beyond-with-mpdlp-in-nvidia-cuopt/", "title": "NVIDIA Developer: Scaling Decision Optimization to 100 Million Variables and Beyond with mPDLP in NVIDIA cuOpt", "summary": "Supply chain problems are expanding across more SKUs, lanes, and constraints than ever before, while energy grids are balancing more distributed sources in real... Supply chain problems are expanding across more SKUs, lanes, and constraints than ever before, while energy grids…", "date_published": "2026-10-07T15:45:00.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/faster-scientific-image-analysis-with-nvidia-cuphoton/", "url": "https://developer.nvidia.com/blog/faster-scientific-image-analysis-with-nvidia-cuphoton/", "title": "NVIDIA Developer: Faster Scientific Image Analysis with NVIDIA cuPhoton", "summary": "Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound pipelines can... Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image dat…", "date_published": "2026-10-07T15:00:00.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] }, { "id": "https://developer.nvidia.com/blog/scale-bitwise-deterministic-pretraining-with-nvidia-megatron-core/", "url": "https://developer.nvidia.com/blog/scale-bitwise-deterministic-pretraining-with-nvidia-megatron-core/", "title": "NVIDIA Developer: Scale Bitwise-Deterministic Pretraining with NVIDIA Megatron Core", "summary": "Bitwise determinism makes large-scale pretraining easier to debug, validate, and resume reproducibly. These benefits become especially valuable when training... Bitwise determinism makes large-scale pretraining easier to debug, validate, and resume reproducibly. These benefits…", "date_published": "2026-10-06T19:58:03.000Z", "tags": [ "research", "NVIDIA Developer" ], "authors": [ { "name": "NVIDIA Developer" } ] } ] }