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.
Google DeepMind AlphaEvolve GA: AI Self-Evolution for Data Center and Algorithm Optimization
On July 19, 2026, Google DeepMind announced the GA of AlphaEvolve, a Gemini-based multi-agent evolution system for algorithmic discovery, mathematical discovery, and data center efficiency optimization, already used in Borg and Orca, aiming to reduce Capex in massive AI compute investments.
NVIDIA Debuts T3000/T2000 Modules and Cosmos 3 Edge, Builds Sovereign AI Ecosystem in Japan
NVIDIA unveils T3000/T2000 compute modules (Thor architecture) and Cosmos 3 Edge world model, signs Japan Noetra alliance for 13,750 Vera CPUs + 27,500 Rubin GPUs (140MW). Sovereign AI revenue triples to $30B+ in FY2026, accelerating the physical AI ecosystem.
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.