Liquid AI released two open decision models, d1-3B and d1-omni-600M, with d1-3B scoring 48.57 on the Decision Index 0.2.1 — the best result for any model under 10B, ahead of Decider 35B-A3B's 47.11. d…
Evopien, a conversational companion prototype running on Jetson AGX Thor, uses a governed memory architecture in which local Qwen handles conversation while Evopien Core owns memory and permission dec…
NVIDIA's Jetson AGX Thor achieved a 6.4x speed increase on the MLPerf Edge Agentic benchmark using the TensorRT Edge-LLM inference engine, according to the report. The gain comes from TensorRT Edge-LL…
NVIDIA released OSMO, an Apache-2.0-licensed, Kubernetes-native workflow orchestrator that lets robot developers describe an entire physical AI pipeline in a single YAML file and run it across trainin…
NVIDIA Jetson, a platform for edge AI and robotics, is compact enough to fit in a handbag yet powerful enough to run frontier AI models, as demonstrated by venture capitalist Sarah Guo. The Jetson Ori…
NVIDIA outlines the state of simulation for physical AI, emphasizing that simulation bridges the data gap for robotics by generating photorealistic, physically grounded data at scale. The company intr…
NVIDIA introduced the Jetson T3000 and T2000 modules based on the Thor architecture, delivering 865 FP4 TeraFLOPS of AI compute in a compact form factor for mass-market robotics and edge AI. The modul…
Nvidia's new Jetson AGX Thor module cuts the physical footprint of its robotics supercomputer roughly in half while delivering 7.5 times the AI performance of its predecessor, the Jetson AGX Orin, acc…