新闻
Offloaded inference for real-world physical AI robotics
Microsoft Research · Ganesh Ananthanarayanan, Matthew Balkwill, Xenofon Foukas, Sanjeev Mehrotra, Bozidar Radunovic, Connor Settle, Ankit Verma, David White, Shawn Cicoria, Mark Martin, Rachel Johnson, Mayur Patel · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Microsoft Research shows that offloading robot AI inference to edge or cloud GPUs improves performance, battery life, and model capacity compared to onboard GPU compute.
- 为何重要
- Robotics engineers designing mobile manipulation systems should consider this when balancing onboard compute constraints against network latency and infrastructure availability.
- 注意
- Offloading introduces complex tradeoffs involving network latency, bandwidth, and GPU resource availability that must be evaluated for each deployment scenario.
- inference
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