Big day for robotics + AI! 🤖🧠 Huge congrats to @NVIDIARobotics on the official launch of Jetson Thor! ⚡ We’ve had the opportunity to get early access to the NVIDIA Jetson Thor AGX Developer Kit over the past few weeks, and we can confidently say it’s a game-changer for Apollo and for humanoid robotics

Weekly NVIDIA Update JAPAN LAUNCHES NATIONAL AI INFRASTRUCTURE $NVDA will partner with Noetra Corp. to build the world’s first national AI infrastructure for physical AI, featuring 13,750 Vera CPUs and 27,500 Rubin GPUs. Backed by Japan’s METI, the 140MW AI factory will power the FRONTia Project, accelerating multimodal AI models for robotics, manufacturing, logistics and healthcare. NOKIA, NVIDIA LAUNCH AI-POWERED RAN $NOK and $NVDA unveiled an AI-driven radio access network platform that could double telecom data capacity over existing spectrum by 2028. The software-defined system, available next year, aims to improve spectrum efficiency, accelerate 6G readiness and expand AI capabilities at the network edge. NVIDIA EXPANDS EDGE AI PORTFOLIO $NVDA introduced Jetson Thor T3000 and T2000 modules, powered by Blackwell architecture, to accelerate mainstream robotics and edge AI. The new systems deliver scalable on-device AI performance, memory optimization tools and support for embodied AI models, with commercial availability expected in Q1 2027.

⚡ TL;DR: Can you instantly say how many times faster your model could run on your hardware? SOLAR derives the theoretical best-case runtime (Speed-of-Light) automatically and with validation, straight from PyTorch/JAX code. Title: SOLAR: AI-Powered Speed-of-Light Performance Analysis URL: 📌 Key points ・🤖 An LLM translates code into an IR, then a "generate-then-verify" loop checks it by numerically comparing outputs against the original ・🧮 A deterministic backend derives compute and memory traffic in closed form from just the einsum subscripts ・🎚 Multi-fidelity roofline bounds at three levels: unfused, fused, and cache-aware ・✅ 100% operator coverage on KernelBench's 270 problems with zero SOL violations (existing FLOP counters hit 75-84%) ・🚀 Headroom reaches 54.6x at L3, with fusion analysis surfacing another 7.8x of room ・🦾 All three robotics models on Jetson Thor were memory-bound; 500Hz control needs 19.7x current bandwidth ・🔄 Inverse roofline back-solves the minimum hardware specs needed to hit a latency target 🌍 Takeaway: Blending the flexibility of generative AI with the rigor of analytical math, it's a practical foundation for accelerating performance tuning and hardware selection without physical access. #DeepLearning# #Performance#

Unitree Introducing | Unitree H2 Plus Integrated R&D and Manufacturing, Embarking on Full-Stack Development🥳 Unitree Robotics announces H2 Plus, the first humanoid robot reference design built on @NVIDIA Isaac GR00T to accelerate humanoid research. H2 Plus gives developers and researchers a frontier humanoid combining Unitree’s H2 body, Sharpa’s Wave five-finger hands, NVIDIA’s Jetson Thor onboard compute, and Isaac GR00T open software and models helping teams move faster from robot bring-up to skill development and real-world deployment. Learn more: