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lapfog_1

(32,028 posts)
2. No... this isn't a play to create a distributed replacement for datacenters.
Mon Jun 1, 2026, 04:45 AM
Monday

RTX Spark: A desktop/laptop system-on-a-chip that pairs Blackwell graphics with an Arm CPU. It is highly efficient, drawing just single-digit wattage at idle and scaling up to 80W at full load.

80 watts is probably less than a current laptop CPU with attached laptop GPU.

much less than a deskside CPU... and a deskside CPU paired with a GeForce gamer GPU... try well over 1000 watts.

This isn't for LLM training, but AI inference... and for GPU graphics / CPU general math.

Running AI learning at the edge makes no sense... latency will kill you. So forget doing training operations with a million laptops burning electricity that you pay for.

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