Musk's Terafab fab plan and Microsoft's local-AI push redraw compute cost lines
Musk has confirmed Tesla and SpaceX will build and operate the Terafab chip manufacturing facility; a SpaceX filing with the US SEC describes a project combining logic chip, memory manufacturing and advanced packaging with a long-term goal of producing hardware equivalent to 1 terawatt of computing power per year, with TSMC potentially renting part of the space and Intel confirming continued involvement though investment and construction details remain undecided. Separately, Microsoft and NVIDIA launched the RTX Spark–equipped Surface Laptop Ultra and detailed Windows hybrid intelligence, which runs some large models and agent tasks locally: its local MAI Code 1.1 Flash has 137B total parameters with roughly 6.8B activated per token in an MoE design, quantized weights of about 53GB, a vendor-reported 75.5GB peak memory at 256K context, and 70.8% on SWE-bench Verified (quantized) versus 72.6% (high precision). The piece argues compute competition is shifting from sheer scale to redrawing the cost boundary for a unit of useful AI capability.
It captures two new directions in the AI compute race: building manufacturing in-house for supply control upstream, and pushing inference to devices to cut per-call costs downstream.