While the vision of orbital data centers running AI promises unprecedented compute power, a recent IEEE Spectrum report, shared by Slashdot, critically assesses the immense technical and economic hurdles. Despite Elon Musk's ambitious predictions, the reality check underscores that space-based AI infrastructure remains far from practical, highlighting significant challenges in manufacturing, launch capacity, and especially, thermal management for powerful chips like NVIDIA's H100.

NVIDIA's full-stack inference software, optimized for the Blackwell platform, slashes token costs by 5x on DeepSeek V4. Companies like Baseten and Cognition leverage NVIDIA's tools to scale AI workloads efficiently, marking a shift from hardware specs to cost-per-token economics.
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