AI News Support Sources Daily digest

Sources / NVIDIA Developer

NVIDIA Developer

Research · Official site ↗ · RSS · JSON Feed

  • Make a Robot Arm Feel Weightless with NVIDIA Holoscan 5

    Research EN

    Picture guiding a robot arm by hand while its motors supply just enough torque to support its weight and keep the robot upright. This simple interaction, a... Picture guiding a robot arm by hand while its motors supply just enough torque to support its weight and keep the robo…

  • Speed Up Image Generation with FLUX 3 Image Klein on NVIDIA Blackwell GPUs

    Research EN

    When deploying diffusion models in design tools, image editors, and visual production workflows, developers must account for inference latency. Generating an... When deploying diffusion models in design tools, image editors, and visual production workflows, developers must acc…

  • Accelerating Reinforcement Learning Weight Refit with the Reshard Collective

    Research EN

    During reinforcement learning (RL) post-training, training trajectories are generated on the fly by running inference with the current policy model. For... During reinforcement learning (RL) post-training, training trajectories are generated on the fly by running inference wit…

  • Configure, Certify, and Operate Kubernetes GPU Clusters with NVIDIA DSX OS

    Research EN

    One underperforming GPU can slow an entire distributed training job. The node may pass basic health checks and show normal utilization, leaving operators to... One underperforming GPU can slow an entire distributed training job. The node may pass basic health checks and show n…

  • How NVIDIA Uses AI Agents to Streamline AI Factory Operations

    Research EN

    As GPU clusters scale, operations span compute, network, hardware, and scheduling. Site reliability engineers (SREs) often have to examine multiple dashboards... As GPU clusters scale, operations span compute, network, hardware, and scheduling. Site reliability engineers (SREs…

  • NVIDIA CUDA 13.5 Brings NVIDIA Vera Rubin GA Support

    Research EN

    As artificial intelligence and accelerated computing continue to push the boundaries of what's possible, the latest NVIDIA CUDA release arrives to unlock... As artificial intelligence and accelerated computing continue to push the boundaries of what’s possible, the latest NVID…

  • Use NVIDIA NeMo to Turn Agent Failures into Tests and Harness Fixes

    Research EN

    Turn production evidence into prioritized issues and custom evaluations that help you improve prompts, tools, models, memory, skills, and harness code. When you... Turn production evidence into prioritized issues and custom evaluations that help you improve prompts, tools, mod…

  • Diagnose Distributed AI Workload Failures with NVIDIA Attribution

    Research EN

    In distributed AI workloads, a single error can produce a cascade of symptoms. A GPU or fabric event may surface as NCCL errors on other ranks, scheduler state... In distributed AI workloads, a single error can produce a cascade of symptoms. A GPU or fabric event may surface a…

  • Keep Distributed Training Running with Automated Workload Recovery

    Research EN

    As distributed AI training scales, failures across hardware and software dependencies increasingly disrupt training progress, making fast, reliable recovery... As distributed AI training scales, failures across hardware and software dependencies increasingly disrupt training p…

  • Making Kubernetes AI-Ready for NVIDIA Vera Rubin on Day One

    Research EN

    Configuring and optimizing Kubernetes for new GPU hardware such as NVIDIA Vera Rubin is complex and error-prone. Drivers, kernels, runtimes, networking,... Configuring and optimizing Kubernetes for new GPU hardware such as NVIDIA Vera Rubin is complex and error-prone. Drivers,…

  • Build World Models for Interactive Simulation with NVIDIA Cosmos

    Research EN

    Physical AI developers working with world models face two distinct challenges: adapting models to their sensors, tasks, and data, and getting those models into... Physical AI developers working with world models face two distinct challenges: adapting models to their sensors, t…

  • Support New AI Frameworks Faster Using NVIDIA Workload Map

    Research EN

    NVIDIA DSX AI Factory Platform brings together technologies to help the ecosystem design, build, and operate more efficient AI factories, including open source,... NVIDIA DSX AI Factory Platform brings together technologies to help the ecosystem design, build, and operate more…

  • Build a Validated Kubernetes Runtime for NVIDIA Dynamo

    Research EN

    Teams building AI applications need a repeatable path from a model configuration to a working inference endpoint. NVIDIA Dynamo is a distributed inference... Teams building AI applications need a repeatable path from a model configuration to a working inference endpoint. NVIDI…

  • Run AI Models for Edge Application Development with Just a Few Commands

    Research EN

    AI is expanding beyond the data center as developers build a new generation of agents to act at the edge: monitoring driver attention and cabin conditions,... AI is expanding beyond the data center as developers build a new generation of agents to act at the edge: monitoring d…

  • Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw

    Research EN

    Building an autonomous agent requires a model, a harness, and domain-specific tools. To deploy an agent more securely, developers need a runtime that enforces... Building an autonomous agent requires a model, a harness, and domain-specific tools. To deploy an agent more secure…

  • How to Check and Configure NVIDIA GPUDirect Storage for Your Platform

    Research EN

    NVIDIA GPUDirect Storage (GDS) accelerates GPU storage access in on-premises and cloud environments. It provides a robust, portable, and efficient data path... NVIDIA GPUDirect Storage (GDS) accelerates GPU storage access in on-premises and cloud environments. It provides a ro…

  • Memory-Enforced GPU Sharing in Kubernetes with NVIDIA CUDA 13.4

    Research EN

    Many AI workloads need only a fraction of a GPU. Giving each one an entire device can leave capacity idle; sharing GPUs lets platform teams serve more workloads... Many AI workloads need only a fraction of a GPU. Giving each one an entire device can leave capacity idle; sharin…

  • NVIDIA RTX Spark Powers Neural Rendering and AI Characters in Games

    Research EN

    NVIDIA RTX Spark is a new Windows PC platform for AI development, creation, and gaming in slim laptops and compact desktops. Powered by an NVIDIA Blackwell RTX... NVIDIA RTX Spark is a new Windows PC platform for AI development, creation, and gaming in slim laptops and compact…

  • Fine-Tuning NVIDIA Nemotron to Know Local Rules, Not Just Local Languages

    Research EN

    As AI adoption expands globally, people across languages and cultures are using it in more aspects of their daily lives. General-purpose language models serve... As AI adoption expands globally, people across languages and cultures are using it in more aspects of their daily l…

  • 3 Ways to Boost MoE Inference on NVIDIA DGX Spark

    Research EN

    Generating tokens faster starts with identifying what limits inference performance. In the batch-size-1 evaluation of Ling-3.0-flash from Inclusion AI on NVIDIA... Generating tokens faster starts with identifying what limits inference performance. In the batch-size-1 evaluatio…

  • How NVIDIA Minerva Turns Telemetry Chaos Into Peak GPU Yield

    Research EN

    AI Factories are some of the most technologically complex operational environments ever created. Hundreds of thousands of GPUs, NVIDIA Spectrum-X Ethernet... AI Factories are some of the most technologically complex operational environments ever created. Hundreds of thousands …

  • How NVIDIA Mission Control 2.5 Brings Autonomous Recovery to Kubernetes

    Research EN

    Training large-scale AI models on thousands of GPUs is a high-stakes operation where monitoring and automation must be built-in to optimize cluster resiliency... Training large-scale AI models on thousands of GPUs is a high-stakes operation where monitoring and automation must…

In the daily digest

9 November 2026,6 November 2026,5 November 2026,4 November 2026,2 November 2026,30 October 2026,29 October 2026

AI News links to the original publications; content remains the property of its publishers.