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Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode

arXiv:2605.30571v1 Announce Type: new Abstract: Physical AI systems, including robots, autonomous vehicles, embodied agents and edge copilots, often run a different inference workload from cloud LLM serving: single-stream, batch-1 autoregressive decode, where one robot, camera feed or user session waits on the next token. This workload is usually described as memory-bandwidth-bound. Each decode step streams model weights and the active KV cache, so latency should scale with peak HBM bandwidth.

arXiv CS 9d ago

Bitcoin's star fades, as investors flock to lustre of AI and megacap IPOs

Bitcoin's star fades, as investors flock to lustre of AI and megacap IPOs LONDON, June 5 : Bitcoin is heading for its worst performance for this point in the year in at least a decade, as booming AI stocks and a series of glittering upcoming new listings such as SpaceX lure away capital from the world's largest cryptocurrency. Its price has tumbled around 15 per cent this week, the most since November 2022, when trading platform FTX imploded. At around $63,000, bitcoin has lost a third in...

Channel News Asia 4d ago