This week
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Updated through the day. Every headline links straight to the source. The two lines underneath are ours.
This is a solid piece of practical distributed-inference engineering for edge and on-prem deployment, showing that idle consumer NPU hardware can be pooled to run 70B-class models without cloud GPUs. Teams building local-first or air-gapped LLM deployments on Intel hardware should read the engineering tricks here, particularly the beam_idx Gather fix that recovers monolithic inference speed.
Thin on detail without the transcript, but Intel leadership drama is worth tracking given the company's struggles to stay relevant in AI chips against Nvidia and AMD. Anyone watching the semiconductor capital landscape should find the full interview rather than the clip.
This is deep semiconductor plumbing, useful mainly for hardware investors and chip architects tracking process node economics years out. Intel 18A cost details are the most immediately actionable piece for anyone evaluating foundry alternatives to TSMC. Not a read for AI product builders, but essential for anyone underwriting compute supply risk.