NVIDIA is AI computing company building GPUs, inference hardware, and developer platforms for training and deployment. HeadsUpAI tracks NVIDIA across the AI ecosystem and curates every significant update — the latest being "NVIDIA and Abridge Collaborate on Specialized Clinical Conversation Foundation Model" (June 13, 2026) — so you get the whole story in a 30-second read.

What's new from NVIDIA?

The most recent NVIDIA update is "NVIDIA and Abridge Collaborate on Specialized Clinical Conversation Foundation Model" (June 13, 2026). HeadsUpAI curates every significant NVIDIA release as a 30-second read — what shipped and why it matters.

What are the latest NVIDIA updates and releases?

The latest NVIDIA updates: "NVIDIA and Abridge Collaborate on Specialized Clinical Conversation Foundation Model", "NVIDIA Launches Free GPU-Accelerated Endpoint for MiniMax M3 Multimodal Model", "NVIDIA Adds Day-One Support for Google DeepMind's DiffusionGemma Model", "NVIDIA Blackwell Accelerates Llama 3 Training with NVFP4 Precision", and "NAVER Builds Gigawatt-Scale AI Factory in Korea with NVIDIA DSX". HeadsUpAI has curated 76 NVIDIA updates over the last 90 days, covering launches, product updates, and company news — listed newest first, presented straight, no hype, no bias.

NVIDIA is AI computing company building GPUs, inference hardware, and developer platforms for training and deployment. On this page you'll find every significant NVIDIA development HeadsUpAI has tracked recently — launches, product updates, and company news — so you can keep up with where NVIDIA is heading without reading a dozen sources.

How often is NVIDIA news updated here?

Continuously. HeadsUpAI adds new NVIDIA updates as they're announced — usually within hours — and the 76 updates currently shown cover the past 90 days, newest first.

NVIDIA AI News & Updates — Latest Releases & Features

NVIDIA14h ago

NVIDIA and Abridge Collaborate on Specialized Clinical Conversation Foundation Model

NVIDIA and Abridge are collaborating to build a specialized foundation model for clinical conversations. The model is designed to understand doctor-patient interactions, generate structured clinical notes, and support decision-making within existing medical workflows. Abridge CEO Shivdev Rao emphasizes that this specialized training is necessary to ensure clinical intelligence is properly shaped and evaluated against real-world conditions.

NVIDIA15h ago

NVIDIA Launches Free GPU-Accelerated Endpoint for MiniMax M3 Multimodal Model

NVIDIA now provides a free GPU-accelerated endpoint for MiniMax M3, a 428B parameter Mixture-of-Experts model. Developers can use the endpoint to test the model's 1-million-token context window and native multimodal reasoning for text, image, and video tasks. The model is available for prototyping and evaluation on the NVIDIA build platform.

NVIDIA16h ago

NVIDIA Adds Day-One Support for Google DeepMind's DiffusionGemma Model

NVIDIA announced day-one support for Google DeepMind's DiffusionGemma, an experimental model that generates 256 tokens in parallel per step. BF16 and NVFP4 checkpoints are available on Hugging Face, alongside free GPU-accelerated endpoints and vLLM deployment. The model delivers over 150 tokens per second on DGX Spark and up to 1,000 on a single H100 GPU.

NVIDIAJun 9

NVIDIA Blackwell Accelerates Llama 3 Training with NVFP4 Precision

NVIDIA trained Llama 3 8B and 405B models on its Blackwell platform using NVFP4 precision. This achieved a 1.31–1.73x speedup compared to FP8 precision, with no loss in accuracy. The update demonstrates how specialized hardware and precision formats can significantly boost the efficiency of large language model development.

NVIDIAJun 8

NAVER Builds Gigawatt-Scale AI Factory in Korea with NVIDIA DSX

NAVER is expanding its AI infrastructure in Korea by building a full-stack NVIDIA AI factory, powered by the NVIDIA DSX platform. This initiative includes plans to scale its GAK Sejong data center from 55 megawatts to gigawatt capacity, addressing the surging demand for AI compute. The collaboration aims to provide sovereign AI capabilities for enterprises, industries, and government customers.

NVIDIAJun 8

NVIDIA and Doosan Group Partner on Physical AI and AI Factory Infrastructure

NVIDIA and Doosan Group announced an expanded collaboration to advance physical AI and AI factory infrastructure. This partnership will explore robotics, AI factory power solutions, and advanced electronics materials for next-generation data center systems. The initiative aims to integrate AI across industrial automation and energy sectors.

NVIDIAJun 8

NVIDIA and LG Group to Build AI Factory for Advanced Physical AI, Mobility

NVIDIA and LG Group announced plans to build an AI factory. This facility will provide accelerated computing infrastructure to support LG's AI-driven businesses, spanning robotics, autonomous driving, and GPU cloud services, by integrating NVIDIA's full-stack AI platform.

NVIDIAJun 6

NVIDIA PixelDiT Achieves State-of-the-Art Pixel-Space Image Generation by Removing Autoencoders

NVIDIA Research's PixelDiT, a single-stage image generation model, was selected as a best paper finalist at CVPR 2026. It removes the autoencoder step common in most image generation models, learning the diffusion process directly in pixel space to preserve fine details and achieve state-of-the-art performance among pixel-space generative models. This approach addresses a key limitation in image quality by eliminating a lossy compression step.

NVIDIAJun 5

NVIDIA Nemotron Coalition Welcomes New Members

NVIDIA's Nemotron Coalition, which develops open frontier AI models, has expanded its membership to include hcompany_ai, NousResearch, and PrimeIntellect. This growth continues the collaborative effort, with Prime Intellect specifically contributing to scaling agentic capabilities.

NVIDIAJun 5

NVIDIA Nemotron 3 Ultra Powers Faster, Cheaper Reasoning for AI Agents

NVIDIA has released Nemotron 3 Ultra, an open model designed for long-running AI agents, and provided a tutorial for its setup and demonstrations. This model aims to make complex, multi-step agentic workflows faster and more cost-effective by delivering high throughput and efficient reasoning.

NVIDIAJun 5

NVIDIA NitroGen Model Wins CVPR Award for Multiverse Embodied Agents

NVIDIA's NitroGen foundation model for generalist gaming agents received a CVPR Best Paper Honorable Mention. This recognition marks progress toward AI agents that master physics across both real-world and simulated environments, a step toward more adaptable, general-purpose embodied AI.

NVIDIAJun 4

NVIDIA Ships Nemotron 3 Ultra for 5x Faster, Cheaper AI Agents

NVIDIA has shipped Nemotron 3 Ultra, a 550B Mixture-of-Experts (MoE) open model designed for long-running AI agents. This model delivers 5x faster inference and up to 30% lower cost for complex agentic tasks compared to other open frontier models, aiming to make autonomous workflows more efficient and accessible.

NVIDIAJun 4

NVIDIA Releases OpenShell v0.0.55 with Google Vertex AI Support

NVIDIA updated its secure agent runtime, OpenShell, to include support for Google Vertex AI as an inference provider. The release improves security transparency through profile-backed policy visibility and fixes critical sandbox behaviors for GPU and container environments. This expansion allows enterprise agents to run securely while accessing models across different cloud ecosystems.

NVIDIAJun 2

NVIDIA simplifies local AI agent setup on DGX Spark with NemoClaw

NVIDIA introduced a single-command installer for NemoClaw on DGX Spark to accelerate the deployment of on-premise AI agents. The update delivers a 2.6x performance boost for Qwen3.6 models and automates multi-node clustering. This allows organizations to run complex, long-running agents locally while maintaining data privacy and eliminating cloud costs.

NVIDIAJun 2

NVIDIA launches FOX blueprint to build autonomous factory manager agents

NVIDIA introduced the Factory Operations Blueprint (FOX), a reference design for creating centralized AI agents that orchestrate industrial workflows. The system allows manufacturers to connect real-time machine data with specialized agents to automate root-cause analysis and production optimization.

NVIDIAJun 1

NVIDIA releases Cosmos 3 open weights to unify physical reasoning and world generation

NVIDIA released Cosmos 3, an open-weights foundation model family designed for physical AI applications like robotics and autonomous driving. By unifying vision reasoning and world simulation into a single architecture, the model allows developers to build autonomous systems that understand physical laws and predict future states within one workflow.

NVIDIAJun 1

NVIDIA releases open source software to maximize AI factory energy efficiency

NVIDIA launched DSX MaxLPS and DSX OS to help infrastructure builders optimize power consumption and manage large-scale AI data centers. These open-source tools allow operators to run more hardware within existing power limits while automating complex facility operations.

NVIDIAJun 1

NVIDIA secures agentic AI factories with in-silicon storage protection

NVIDIA announced new DOCA security features for the Vera BlueField-4 STX platform to protect autonomous agents and context memory. By moving threat detection into silicon, the system achieves 1,000x faster response times to secure the data path in real-time AI environments.

NVIDIAJun 1

NVIDIA launches RTX Spark to run autonomous AI agents locally on Windows

NVIDIA unveiled the RTX Spark superchip, a 1-petaflop processor combining Blackwell and Grace architectures with 128GB of unified memory for Windows PCs. The platform introduces a native security layer and dedicated runtime to allow autonomous agents to execute complex workflows privately on local hardware.

NVIDIAJun 1

NVIDIA brings trillion parameter AI models to Windows enterprise desktops

NVIDIA announced the DGX Station for Windows, a deskside supercomputer powered by the GB300 Grace Blackwell chip. It allows enterprises to run frontier-class AI models and autonomous agents locally within their existing Windows infrastructure. This shift bridges the gap between high-performance Linux data centers and the Windows applications where professional work actually happens.

NVIDIAJun 1

NVIDIA Launches Alpamayo 2 Super to Enable Reasoning Level 4 Robotaxis

NVIDIA introduced Alpamayo 2 Super, a 32-billion-parameter reasoning model that allows autonomous vehicles to plan and explain complex driving decisions. The release includes simulation and reinforcement learning tools to help developers scale robotaxi fleets safely.

NVIDIAJun 1

NVIDIA launches open humanoid reference design to unify physical AI development

NVIDIA announced the Isaac GR00T Reference Humanoid Robot, an open platform combining Unitree hardware, Sharpa dexterous hands, and Jetson Thor compute. The design aims to solve fragmentation in robotics research by providing a standardized hardware and software stack for developing general-purpose humanoid behaviors.

NVIDIAJun 1

NVIDIA Open Sources Physical AI Agent Skills for Robotics and Manufacturing

NVIDIA released a collection of open-source tools and skills on GitHub that allow AI agents to orchestrate complex physical-world workflows. By making libraries like Omniverse and Isaac agent-callable, the release enables coding agents to autonomously handle data generation, simulation, and deployment for robots and autonomous vehicles.

NVIDIAJun 1

TSMC adopts NVIDIA AI stack to automate advanced chip manufacturing

TSMC is integrating NVIDIA's accelerated computing and vision AI platforms to optimize semiconductor design and fab operations. This shift allows the world's largest foundry to use AI-driven simulation and defect detection to manage the extreme complexity of next-generation chip nodes.

NVIDIAJun 1

NVIDIA and Foxconn Deploy Agentic AI Workforces Across Taiwan Hospitals

NVIDIA and Foxconn are launching a coordinated system of digital and physical AI agents to manage clinical reasoning and hospital logistics. This initiative addresses clinician shortages by integrating autonomous agents directly into medical workflows rather than using them as standalone tools.

NVIDIAJun 1

NVIDIA expands DRIVE Hyperion ecosystem for global Level 4 robotaxi fleets

NVIDIA is scaling its DRIVE Hyperion platform through new partnerships with Uber, VinFast, and Foxconn to deploy Level 4 robotaxi fleets globally. The expansion signals a shift toward industrial-scale autonomous mobility across Europe, Asia, and the Middle East.

NVIDIAMay 30

NVIDIA DynoSim Simulates LLM Inference Stacks 1,500x Faster Than Real-Time

NVIDIA released DynoSim, a Rust-based simulation framework that creates a digital twin of the Dynamo inference stack to model complex LLM serving workloads. By running 1,500x faster than real-time, the tool allows teams to screen thousands of deployment configurations and autoscaling policies on a laptop before committing expensive GPU resources.

NVIDIAMay 30

NVIDIA Releases VSS Agent Skills to Automate Industrial Video Analytics

NVIDIA released agent skills and a modular architecture for its Metropolis Blueprint for Video Search and Summarization (VSS), allowing coding agents to autonomously deploy video analytics stacks. This shift replaces manual microservice configuration with a chat-based interface for searching hours of footage using natural language.

NVIDIAMay 28

NVIDIA Adopts OpenMDW Standard to Simplify Licensing for Open Models

NVIDIA is adopting the Linux Foundation's OpenMDW-1.1 framework across its major open model families, including Cosmos and Nemotron. This shift replaces custom legal terms with a permissive, industry-standard license designed specifically for AI weights, code, and data.

NVIDIAMay 28

NVIDIA LocateAnything Uses Parallel Decoding to Speed Up Visual Grounding

NVIDIA released LocateAnything, a vision-language model that uses parallel box decoding to pinpoint objects up to 10 times faster than traditional text-based models. By treating bounding boxes as single atomic units rather than sequences of tokens, the model achieves state-of-the-art accuracy for AI agents navigating graphical interfaces and physical environments.

NVIDIAMay 28

NVIDIA Dynamo Snapshot Cuts AI Inference Startup Times to Under Five Seconds

NVIDIA announced Dynamo Snapshot, a framework that reduces Kubernetes inference startup times from minutes to under five seconds. By decoupling model weights from process state, the system enables near-instant elastic scaling for large language models without maintaining expensive, idle GPU capacity.

NVIDIAMay 27

NVIDIA CEO Jensen Huang Teases Surprise 2026 Product Beyond Vera Rubin

NVIDIA CEO Jensen Huang confirmed that the 2026 hardware lineup includes Grace Blackwell and Vera Rubin while teasing an undisclosed surprise new product. This signal suggests NVIDIA is expanding its roadmap beyond the seven-chip architecture launched earlier this year to maintain its lead in AI infrastructure.

NVIDIAMay 22

NVIDIA Launches LongLive-2.0 for 4-Bit Long Video Generation Infrastructure

NVIDIA released LongLive-2.0, an end-to-end infrastructure that uses 4-bit floating point precision across the entire training and inference lifecycle for long-form video. By aligning 4-bit weights and activations with a multi-shot attention mechanism, the system achieves real-time speeds while maintaining subject consistency over minute-long generations.

NVIDIAMay 22

NVIDIA Launches AI-Q Agent Skill to Bring Deep Research to Coding Agents

NVIDIA released the AI-Q Agent Skill, a portable version of its research pipeline that integrates with agent harnesses like Claude Code and Codex. Instead of coding agents attempting complex multi-source synthesis themselves, they can now delegate research tasks to a dedicated AI-Q server that returns cited reports.

NVIDIAMay 21

NVIDIA Launches Verified Agent Skills to Secure Autonomous AI Capabilities

NVIDIA released a verification framework for agent skills that uses automated scanning and cryptographic signing to ensure AI instructions are safe and authentic. While previous security focused on isolating the agent's environment, this shift brings governance directly to the capabilities an agent learns and executes.

NVIDIAMay 20

NVIDIA Releases Nemotron-Labs-Diffusion for 6x Faster Parallel Token Generation

NVIDIA released Nemotron-Labs-Diffusion, a family of open-weight models that unify standard autoregressive decoding with parallel diffusion-based generation. By switching attention patterns within a single model, these 3B to 14B parameter models achieve up to 4x higher throughput on modern hardware compared to traditional sequential generation.

NVIDIAMay 19

NVIDIA Releases SANA-WM Open Source World Model for Minute-Long Video

NVIDIA released SANA-WM, a 2.6B-parameter open-source world model that generates 60-second, 720p videos from a single image and camera path. It achieves industrial-level quality on a single GPU, enabling developers to simulate controllable environments without massive compute clusters.

NVIDIAMay 18

NVIDIA Hardens OpenShell Agent Runtime With OIDC and DNS Exfiltration Blocks

NVIDIA released OpenShell v0.0.43, adding bidirectional TTY streaming and OpenID Connect authentication to its secure AI agent runtime. The update hardens sandbox isolation by removing DNS resolution to prevent data exfiltration during autonomous tasks.

NVIDIAMay 15

NVIDIA Hardens OpenShell With Agent-Driven Policies and Sandbox Resource Limits

NVIDIA released OpenShell v0.0.41, adding agent-driven policy management and granular resource controls for its secure AI agent runtime. The update introduces workspace-boundary checks and custom certificate support to prevent sandbox escapes in enterprise environments.

NVIDIAMay 11

NVIDIA OpenShell v0.0.37 Adds Pluggable Drivers and Enterprise Security for AI Agents

NVIDIA released a major update to its secure agent runtime, introducing pluggable compute drivers for Kubernetes and Docker alongside enterprise-grade authentication. The release shifts the platform toward production infrastructure, requiring a full gateway recreation to adopt a new shared entity model.

NVIDIAMay 9

NVIDIA Outlines Technical Roadmap for Scaling Robot Dexterity and Physical AGI

NVIDIA's Jim Fan presented Robotics: Endgame at Sequoia AI Ascent, a 20-minute technical roadmap for solving Physical AGI as a parallel to the LLM success story. He walks through why current VLAs fall short, the case for video world models as a second pretraining paradigm, World Action Models, EgoScale, a Dexterity Scaling Law, and DreamDojo, an end-to-end neural physics engine for scaling reinforcement learning in silico.

NVIDIAMay 9

NVIDIA Hardens Dynamo to Match Frontier Agent Performance on Custom Stacks

NVIDIA updated its Dynamo inference framework to support the specific multi-turn requirements of agent harnesses like Claude Code and Codex. The update eliminates infrastructure friction that causes reasoning drift and cache misses, allowing developers to run complex agents on private stacks with the same fidelity as managed frontier endpoints.

NVIDIAMay 8

NVIDIA Research Unveils GVR Algorithm for 1.88x Faster Blackwell Inference

NVIDIA Research developed Guess-Verify-Refine, a hardware-aware algorithm that speeds up the selection of important data points during AI reasoning. By reusing patterns from previous steps, the system reduces latency for long-context models on Blackwell GPUs without sacrificing mathematical accuracy.

NVIDIAMay 6

NVIDIA Vera Rubin Hits 400 Tokens Per Second for Trillion Parameter Models

NVIDIA's Vera Rubin platform uses a co-designed stack of seven specialized chips to solve the high-latency and cost bottlenecks of autonomous AI agents. By integrating dedicated hardware for token generation and tool execution, the system maintains high interactivity for trillion-parameter models while reducing token costs by 90 percent compared to previous architectures.

NVIDIAMay 5

NVIDIA Nemotron 3 Super Tops Open Source Leaderboard for Enterprise Agents

NVIDIA's Nemotron 3 Super model claimed the #1 spot in the open-source category on the EnterpriseOps-Gym leaderboard, a benchmark for autonomous agents. The result validates the model's ability to coordinate across hundreds of tools and enterprise systems to complete complex, multi-step workflows.

NVIDIAMay 5

NVIDIA Megatron Core Adds Muon Support to Accelerate Frontier Model Training

NVIDIA integrated higher-order optimizers like Muon into its Megatron Core framework to increase training efficiency for 30B-parameter models. This shift from standard data-parallel methods allows labs to maximize throughput on Blackwell-class hardware for the next generation of reasoning models.

NVIDIAMay 5

NVIDIA Open Sources Internal Agentic Workflows for Supply Chain Optimization

NVIDIA released the open-source agentic workflow it uses internally to optimize its global supply chain in minutes rather than weeks. The system combines GPU-accelerated solvers with multi-agent orchestration to turn natural language logistical problems into mathematically optimized decisions.

NVIDIAMay 2

NVIDIA Accelerates Reasoning Model Training With Speculative Decoding Rollouts

NVIDIA Research integrated speculative decoding into the NeMo-RL training framework to remove the bottleneck of autoregressive rollout generation. By using a vLLM backend to accelerate response generation during reinforcement learning, the system delivers up to a 1.8x throughput increase without altering the model's output distribution.

NVIDIAMay 2

NVIDIA Open-Sources OpenShell to Secure Enterprise AI Agents with Kernel-Level Isolation

NVIDIA released OpenShell, an open-source security runtime that wraps autonomous AI agents in isolated sandboxes to prevent unauthorized data access or system actions. By using kernel-level isolation and declarative YAML policies, the tool provides the security layer required for production-grade enterprise agent deployments.

NVIDIAApr 28

NVIDIA Launches Nemotron 3 Nano Omni for Efficient Multimodal Sub-Agents

NVIDIA released Nemotron 3 Nano Omni, a 30B-parameter multimodal model that unifies text, image, video, and audio understanding into a single architecture. By activating only 3 billion parameters during inference, the model delivers high-efficiency reasoning across a 256K context window for complex agentic workflows.

NVIDIAApr 25

NVIDIA Dynamo Rebuilds Inference Stack for Agentic Coding Workloads

NVIDIA updated its Dynamo inference orchestrator with agent-native optimizations that deliver up to 7x more throughput for multi-step AI workflows. By introducing KV-aware routing and a four-tier memory hierarchy, the system eliminates redundant recomputations in long-running agent sessions.

NVIDIAApr 24

NVIDIA Blackwell Ultra Powers DeepSeek V4 Pro at 150 Tokens Per Second

NVIDIA reported that DeepSeek-V4-Pro achieves over 150 tokens per second on Blackwell Ultra hardware. This performance level makes 1.6-trillion parameter models viable for real-time autonomous agents. Future software updates like Dynamo and NVFP4 are expected to push these speeds even higher.

NVIDIAApr 24

NVIDIA Adobe and WPP Launch Secure Agents for Autonomous Brand Marketing

NVIDIA is collaborating with Adobe and WPP to deploy creative AI agents powered by Nemotron models and the OpenShell secure runtime. This shift moves brand marketing from manual content generation to autonomous, always-on production that remains strictly within brand safety guardrails.

NVIDIAApr 24

NVIDIA Releases Asset Harvester to Turn Driving Video Into 3D Objects

NVIDIA researchers open-sourced Asset Harvester, an end-to-end pipeline that extracts manipulable 3D assets from standard autonomous driving video logs. By turning sparse real-world footage into simulation-ready objects, it removes the manual bottleneck of creating diverse training environments for physical AI.

NVIDIAApr 24

NVIDIA NeMo RL Accelerates Reasoning Model Training With End to End FP8 Precision

NVIDIA NeMo RL now supports end-to-end FP8 precision for reinforcement learning, enabling faster iterations for reasoning-grade models. By using importance sampling to maintain accuracy parity with high-precision training, the update delivers up to a 1.48x speedup on models like Qwen3. This shift makes the compute-intensive process of building agentic reasoning capabilities significantly more efficient for developers.

NVIDIAApr 16

NVIDIA transforms telecom networks into distributed AI grids for real-time edge agents

NVIDIA launched the Metropolis VSS 3 Blueprint, a reference architecture that allows AI agents to run directly on 5G telecom infrastructure. This shift enables continuous real-time video analysis and infrastructure monitoring at the edge, bypassing the latency and cost of cloud-based processing.

NVIDIAApr 16

NVIDIA CEO Jensen Huang Outlines Five-Layer Strategy for AI Leadership

Jensen Huang introduced the five-layer AI cake framework to define national AI leadership across energy, chips, infrastructure, models, and applications. He noted that the industry is shifting toward inference-time compute where models use more processing power to think through complex problems.

NVIDIAApr 15

NVIDIA Launches Ising Open AI Models to Automate Quantum Computing

NVIDIA released Ising, the first open-source AI model family designed to automate quantum processor calibration and real-time error correction. By treating hardware management as an AI problem, these models reduce manual tuning from days to hours and improve error-correction accuracy by 3x.

NVIDIAApr 1

NVIDIA launches CaP-X to turn frontier language models into autonomous robot controllers

NVIDIA and academic partners released CaP-X, an open-source framework that allows large language models to control robots by writing and executing code. It proves that off-the-shelf models like Gemini 3 Pro can perform complex physical tasks without specific robotics training. This shifts the robotics paradigm from specialized end-to-end models to general-purpose agentic reasoning.

NVIDIAApr 1

NVIDIA Partners With Marvell to Open the NVLink Fusion Ecosystem

NVIDIA and Marvell Technology partnered to integrate custom silicon into the NVIDIA AI factory ecosystem through the NVLink Fusion platform. This allows customers to build semi-custom AI infrastructure that remains fully compatible with NVIDIA's proprietary interconnects and software stack.

NVIDIA and Abridge Collaborate on Specialized Clinical Conversation Foundation Model

NVIDIA Launches Free GPU-Accelerated Endpoint for MiniMax M3 Multimodal Model

NVIDIA Adds Day-One Support for Google DeepMind's DiffusionGemma Model

NVIDIA Blackwell Accelerates Llama 3 Training with NVFP4 Precision

NAVER Builds Gigawatt-Scale AI Factory in Korea with NVIDIA DSX

NVIDIA and Doosan Group Partner on Physical AI and AI Factory Infrastructure

NVIDIA and LG Group to Build AI Factory for Advanced Physical AI, Mobility

NVIDIA PixelDiT Achieves State-of-the-Art Pixel-Space Image Generation by Removing Autoencoders

NVIDIA Nemotron Coalition Welcomes New Members

NVIDIA Nemotron 3 Ultra Powers Faster, Cheaper Reasoning for AI Agents

NVIDIA NitroGen Model Wins CVPR Award for Multiverse Embodied Agents

NVIDIA Ships Nemotron 3 Ultra for 5x Faster, Cheaper AI Agents

NVIDIA Releases OpenShell v0.0.55 with Google Vertex AI Support

NVIDIA simplifies local AI agent setup on DGX Spark with NemoClaw

NVIDIA launches FOX blueprint to build autonomous factory manager agents

NVIDIA releases Cosmos 3 open weights to unify physical reasoning and world generation

NVIDIA releases open source software to maximize AI factory energy efficiency

NVIDIA secures agentic AI factories with in-silicon storage protection

NVIDIA launches RTX Spark to run autonomous AI agents locally on Windows

NVIDIA brings trillion parameter AI models to Windows enterprise desktops

NVIDIA Launches Alpamayo 2 Super to Enable Reasoning Level 4 Robotaxis

NVIDIA launches open humanoid reference design to unify physical AI development

NVIDIA Open Sources Physical AI Agent Skills for Robotics and Manufacturing

TSMC adopts NVIDIA AI stack to automate advanced chip manufacturing

NVIDIA and Foxconn Deploy Agentic AI Workforces Across Taiwan Hospitals

NVIDIA expands DRIVE Hyperion ecosystem for global Level 4 robotaxi fleets

NVIDIA DynoSim Simulates LLM Inference Stacks 1,500x Faster Than Real-Time

NVIDIA Releases VSS Agent Skills to Automate Industrial Video Analytics

NVIDIA Adopts OpenMDW Standard to Simplify Licensing for Open Models

NVIDIA LocateAnything Uses Parallel Decoding to Speed Up Visual Grounding

NVIDIA Dynamo Snapshot Cuts AI Inference Startup Times to Under Five Seconds

NVIDIA CEO Jensen Huang Teases Surprise 2026 Product Beyond Vera Rubin

NVIDIA Launches LongLive-2.0 for 4-Bit Long Video Generation Infrastructure

NVIDIA Launches AI-Q Agent Skill to Bring Deep Research to Coding Agents

NVIDIA Launches Verified Agent Skills to Secure Autonomous AI Capabilities

NVIDIA Releases Nemotron-Labs-Diffusion for 6x Faster Parallel Token Generation

NVIDIA Releases SANA-WM Open Source World Model for Minute-Long Video

NVIDIA Hardens OpenShell Agent Runtime With OIDC and DNS Exfiltration Blocks

NVIDIA Hardens OpenShell With Agent-Driven Policies and Sandbox Resource Limits

NVIDIA OpenShell v0.0.37 Adds Pluggable Drivers and Enterprise Security for AI Agents

NVIDIA Outlines Technical Roadmap for Scaling Robot Dexterity and Physical AGI

NVIDIA Hardens Dynamo to Match Frontier Agent Performance on Custom Stacks

NVIDIA Research Unveils GVR Algorithm for 1.88x Faster Blackwell Inference

NVIDIA Vera Rubin Hits 400 Tokens Per Second for Trillion Parameter Models

NVIDIA Nemotron 3 Super Tops Open Source Leaderboard for Enterprise Agents

NVIDIA Megatron Core Adds Muon Support to Accelerate Frontier Model Training

NVIDIA Open Sources Internal Agentic Workflows for Supply Chain Optimization

NVIDIA Accelerates Reasoning Model Training With Speculative Decoding Rollouts

NVIDIA Open-Sources OpenShell to Secure Enterprise AI Agents with Kernel-Level Isolation

NVIDIA Launches Nemotron 3 Nano Omni for Efficient Multimodal Sub-Agents

NVIDIA Dynamo Rebuilds Inference Stack for Agentic Coding Workloads

NVIDIA Blackwell Ultra Powers DeepSeek V4 Pro at 150 Tokens Per Second

NVIDIA Adobe and WPP Launch Secure Agents for Autonomous Brand Marketing

NVIDIA Releases Asset Harvester to Turn Driving Video Into 3D Objects

NVIDIA NeMo RL Accelerates Reasoning Model Training With End to End FP8 Precision

NVIDIA transforms telecom networks into distributed AI grids for real-time edge agents

NVIDIA CEO Jensen Huang Outlines Five-Layer Strategy for AI Leadership

NVIDIA Launches Ising Open AI Models to Automate Quantum Computing

NVIDIA launches CaP-X to turn frontier language models into autonomous robot controllers

NVIDIA Partners With Marvell to Open the NVLink Fusion Ecosystem

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