Cosmos 3 Edge — 显存、速度与本地部署

作者： Jakub Rusinowski · 最后更新： 2026年7月21日

The on-device tier — a 4B-parameter open world model on a dense 2B backbone that runs vision reasoning and robot-action generation directly on the robot, with no cloud round-trip. Released mid-July 2026, Edge targets NVIDIA Jetson (including the new Jetson T2000/T3000 modules) and RTX GPUs; NVIDIA cites a GeForce RTX 3070 or better as a local prototyping on-ramp. On Jetson Thor it generates 32 actions per inference at 15 Hz real-time control. Weights are ~8 GB at BF16, so it fits a single consumer or embedded GPU. This is the practical tier for hobbyist and edge robotics. Omnimodal reasoning + action. OpenMDW-1.1. Specs from launch coverage and the Hugging Face model card — verify before relying on them.

Cosmos 3 Edge 在 BF16 下约需 3 GB 显存——量化权重加框架开销，不含 KV 缓存。在 Apple Silicon 上，这部分来自统一内存。