Reports
AI-generated structured vendor updates
NVIDIA Open-Sources Cosmos 3 Edge 4B World Model for Real-Time Robot Control at 15Hz on Jetson Thor
NVIDIA open-sources Cosmos 3 Edge, a 4B parameter world action model for edge robotics. It achieves 15Hz real-time inference with 32 actions per inference on the Jetson Thor module. This extends NVIDIA's physical AI stack from training to real-time deployment, enabling end-to-end robot control at the edge.
NVIDIA Expands Agent Toolkit with Omniverse Libraries for Physical AI Simulation
At SIGGRAPH 2026, NVIDIA announced an expansion to its Agent Toolkit, adding Omniverse libraries that enable AI agents to build and simulate 3D worlds. The company also open-sourced Cosmos 3 Edge, a 4B-parameter world action model, completing its physical AI ecosystem from training to edge deployment.
NVIDIA Jetson Thor T3000/T2000: Blackwell GPU Crashes Edge AI Cost Barrier
NVIDIA unveils Jetson Thor T3000 and T2000 modules. The T3000 packs a Blackwell GPU and 8-core Neoverse CPU, delivering 865 FP4 TFLOPS at half the power of the T5000. New Jetson Agent Skills automate memory optimization, aiming to scale deployment of humanoid robots and edge AI.
NVIDIA & SK hynix Deepen Memory Co-Engineering: Custom HBM for Vera Rubin and Jetson Thor
NVIDIA and SK hynix have announced a multiyear partnership to co-develop next-generation custom memory for NVIDIA's AI factory ecosystem, including Vera Rubin supercomputers, Vera CPUs, RTX Spark PCs, and Jetson Thor robotic platforms. SK hynix will also use NVIDIA CUDA-X libraries and Omniverse to accelerate semiconductor design and build fab digital twins.
NVIDIA and Doosan: Full-Stack Physical AI Platform Restructures Industrial Automation
NVIDIA expands collaboration with Doosan Group to integrate its physical AI stack (Isaac Sim, Cosmos, Jetson Thor) into Doosan Robotics' Agentic Robot OS, explore AI factory power (SMR, hydrogen fuel cells), and MGX ecosystem PCB materials. This move transforms NVIDIA from a GPU vendor into the central platform for physical AI and AI factory infrastructure, deeply locking industrial automation partners.
NVIDIA Locks Taiwan Supply Chain with AI Factory Stack, Vera Rubin Production Tied to Proprietary Software
NVIDIA partners with TSMC, Foxconn, and others to embed its proprietary AI software (cuLitho, Omniverse, Isaac) into semiconductor manufacturing and server assembly, while ramping Vera Rubin NVL72 production. The move uses efficiency gains (e.g., 20-50% cycle time reduction) as bait to lock the supply chain into a full-stack ecosystem, increasing switching costs for partners.
Intel Core Ultra 3 SoC Replaces Discrete GPUs in Edge Robotics, Slashing TCO
Intel Core Ultra Series 3 SoC integrates CPU, GPU, and NPU to power edge robotics, replacing discrete GPUs. Partners like Sensory AI run multi-agent AI (vision, language, motion) locally, cutting TCO and eliminating cloud latency. This shifts the cost-performance curve for service robots.
NVIDIA IGX Thor: 8x Edge AI Compute with ConnectX-7 Network Lock-In
NVIDIA launches IGX Thor edge AI platform with Blackwell GPU, up to 5,581 FP4 TFLOPS, dual 200GbE RDMA via ConnectX-7, and ISO 26262 safety. Pin-compatible with Jetson Thor and 10-year lifecycle enable seamless migration, but create vendor lock-in through proprietary networking and GPU dependencies.
NVIDIA Jetson Advances Localized Deployment of Open-Source AI Models at Edge
NVIDIA's Jetson edge AI platform enables localized deployment of open-source generative AI models like Qwen3 4B and Mistral 3 on edge devices. The platform offers a complete hardware range from Jetson Orin Nano to Thor, integrating compute and memory in SoM for simplified design. Key performance shows Jetson Thor achieves 52 tokens/sec for Mistral 3 inference.
NVIDIA and SK hynix Co-Architect Next-Gen Memory for AI Factories, Locking HBM4 to Vera Rubin
NVIDIA and SK hynix announce a multi-year tech partnership to co-develop next-gen memory for Vera Rubin, RTX Spark, and Jetson Thor. Separately, SK Telecom deploys a gigawatt-scale AI cloud using the full DGX stack, targeting 2027. This elevates SK hynix from supplier to co-architect, strengthening NVIDIA's lock-in on HBM and the AI ecosystem.