Reports
AI-generated structured vendor updates
NVIDIA Extends RTX AI Capabilities to Local Agentic AI, Accelerating Gemma 4 Inference
At GTC 2026, NVIDIA announced it is extending its RTX platform capabilities to the domain of local Agentic AI, aiming to accelerate the inference performance of open models like Gemma 4 on end-user devices. This move seeks to leverage local, real-time context to enhance the value of AI agents, driving innovation beyond the cloud.
NVIDIA Increases Cloud Gaming VR Streaming to 90 FPS
NVIDIA's GeForce NOW cloud gaming service has upgraded VR streaming frame rates to 90 FPS for devices including Apple Vision Pro, Meta Quest, and Pico. The update targets Ultimate members and leverages new RTX 5080-level cloud compute to enhance high-fidelity gaming performance.
NVIDIA Launches GRT Platform for Full-Stack Robotics AI Development
NVIDIA launches GRT platform integrating multi-modal AI models including Eureka, VIMA and Octo, with Isaac Lab simulator accelerating reinforcement learning. The platform enables end-to-end development from simulation to physical deployment, shifting robotics development from coding to AI model-driven paradigm.
NVIDIA Advances AI Robotics from Simulation to Production
NVIDIA demonstrates a new paradigm for robotics development by unifying simulation and production environments, accelerating industrial automation. The solution integrates AI training frameworks with edge computing architecture, delivering end-to-end development platforms for manufacturing and agriculture.
NVIDIA CloudXR Integrates Apple Vision Pro for Enterprise XR Streaming
NVIDIA's CloudXR platform now supports Apple Vision Pro, enabling high-fidelity XR content streaming from cloud or local workstations with RTX GPUs. This addresses mobile headset compute limitations for enterprise applications like industrial design and digital twins.
NVIDIA RTX Workstations Directly Connect to Apple Vision Pro for Enterprise XR
NVIDIA's CloudXR SDK 6.0 enables native direct connection between RTX-accelerated workstations and Apple Vision Pro, eliminating traditional streaming servers. Integrated with Omniverse and OpenUSD workflows, it reduces deployment complexity for enterprise XR applications.
NVIDIA and Telecom Operators Build AI Grids to Redistribute AI Inference
NVIDIA is partnering with global telecom operators like AT&T and Comcast to transform existing distributed network sites into 'AI Grids' for edge AI inference. This initiative aims to deploy AI compute closer to users and data, reducing latency and cost per token. It represents a strategic shift for telcos from being data carriers to distributed AI computing platforms.
NVIDIA Partners with Telecom Operators to Build Distributed AI Inference Grid
NVIDIA collaborates with telecom operators to transform 100,000 global network sites and 100GW backup power into a distributed AI computing platform for low-latency inference. The AI grid has been validated in IoT and cloud gaming scenarios, achieving sub-500ms latency and 50% cost reduction.
NVIDIA Releases Open-Source Models and NemoClaw Stack for Local AI Agent Deployment
NVIDIA launches Nemotron 3 Super 120B and Nano 4B open-source models, plus NemoClaw software stack optimizing OpenClaw on NVIDIA devices. The stack enables local model deployment for enhanced security, privacy, and cost avoidance. Partners with Unsloth for web interface simplifying model fine-tuning.
NVIDIA cuDF Accelerates Spark Data Processing for Enterprise A/B Testing
NVIDIA accelerates Apache Spark workflows on Google Kubernetes Engine using cuDF GPU DataFrame and CUDA-X libraries, delivering 4x performance gain and 76% cost reduction for Snap. The solution enables code-free migration of Spark applications and processes over 10PB data.
NVIDIA AI Grids: AT&T, T-Mobile Building Distributed AI Platform
NVIDIA at GTC 2026 announced AI Grids strategy, as telecom operators transform network infrastructure into geographically distributed AI inference platforms. Major operators including AT&T, T-Mobile, Comcast, and Akamai participating in building distributed edge AI infrastructure.
Project Rheo: NVIDIA Shifts Robot Training Control from Real Hospitals to Simulation
NVIDIA unveils Project Rheo, a blueprint combining Isaac Sim, GR00T VLA models, and synthetic data generation for hospital robotics. Developers train Physical AI policies in digital twins—loco-manipulation (surgical tray pick-and-place) and precision bimanual tasks (trocar assembly)—with Cosmos Transfer 2.5 for cross-scene generalization.
NVIDIA Partners with Industrial Software Giants to Advance AI in Manufacturing
NVIDIA collaborates with industrial software leaders like Siemens and Ansys to integrate AI into design and manufacturing. Leveraging Omniverse platform and generative AI to accelerate digital-to-physical workflows. Focuses on digital twins and generative AI for product development optimization.
NVIDIA Partners with Industrial Software Giants on AI-Driven Manufacturing Solutions
NVIDIA collaborates with Ansys, Cadence, and Siemens to integrate generative AI and physical AI technologies into product development using Omniverse and AI compute infrastructure. The solutions enable deep integration of digital twins, simulation, and automated design to address industrial efficiency challenges.
NVIDIA and Hyundai/Kia Deepen DRIVE Thor Partnership for Autonomous Driving
NVIDIA and Hyundai Motor Group expand strategic collaboration to develop next-gen software-defined autonomous driving systems based on DRIVE Thor centralized compute platform. The platform integrates AI, autonomous driving, and infotainment, supporting continuous upgrades from L2+ to L3 automation, with planned deployment from 2025 and mass production by 2027.
NVIDIA Releases Open Physical AI Data Factory Blueprint
NVIDIA introduces an open physical AI data factory blueprint, offering a standardized data generation and synthesis framework to accelerate training and development for physical AI applications like robotics, vision AI, and autonomous vehicles. The blueprint addresses large-scale real-world data acquisition challenges through reference architecture, lowering industry barriers and boosting R&D iteration.
NVIDIA Mass Produces Dynamo 1.0 Inference OS, Strengthening AI Factory Platform Strategy
NVIDIA begins mass production of Dynamo 1.0 inference OS, providing a unified software layer to coordinate AI inference workloads across data centers, cloud and edge. The system simplifies large-scale AI model deployment through standardized runtime and scheduler, abstracting infrastructure management.
NVIDIA Collaborates with Telecom Giants to Build AI Grids for Distributed Inference
NVIDIA announced AI Grids architecture at GTC 2026, collaborating with telecom operators to dynamically distribute inference tasks to optimal network locations, reducing latency and improving efficiency. This represents deep integration of AI computing with communication infrastructure to support edge expansion of AI-native applications.
NVIDIA Collaborates with T-Mobile to Integrate Physical AI Applications on AI-Ready RAN Infrastructure
NVIDIA partners with T-Mobile to integrate physical AI applications on AI-RAN ready infrastructure, enabling AI models to interact directly with the physical world. This focuses on wireless RAN for network optimization and automated operations, providing intelligent foundational support for 5G and future networks.
Adobe and NVIDIA Partner to Optimize AI PC Creative Workflows
Adobe and NVIDIA formed a strategic partnership to co-develop next-gen Firefly generative AI models and optimize performance on NVIDIA RTX AI PCs. The collaboration focuses on deep integration of AI capabilities into core products like Creative Cloud and Experience Cloud workflows, accelerating creative marketing and agentic processes.