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GPU Infrastructure

612 summarised stories about GPU Infrastructure, each linking back to the original source. Browse all topics →

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NVIDIA SiliconANGLE OpenAI Microsoft CoreWeave The New Stack

Wednesday, 29 July 2026

Data Centers Are Easy to Build. Powering Them Is Complicated, Slow, and Expensive

404 Media 2 months ago 15

A power grid incident in the US midwest exposed a fundamental infrastructure crisis: data centers powering the AI boom can be built in under a year, but the power plants and transmission lines needed to operate them take 7-10 years and billions of dollars to construct. Companies are improvising with expensive workarounds like on-site gas turbines and repurposed jet engines, while also raising electricity costs for nearby residents, and some solutions like unregulated natural gas operations are creating significant air quality and environmental violations.

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AI Infrastructure GPU Infrastructure Geopolitics

From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon

BAIR 2 months ago 27

Researchers developed a method to automatically translate GPU kernel optimizations from CUDA to Apple's MLX framework by building an evolutionary search system (K-Search) with a structured translation layer that maps CUDA concepts to Metal/MLX equivalents. The evolved attention kernel achieved 0.97x the speed of Apple's native implementation and the Mamba SSM kernel reached 20x faster prefill throughput compared to the community mlx-lm implementation. This approach enables newer hardware ecosystems like Apple Silicon to leverage decades of accumulated CUDA optimization knowledge rather than rediscovering optimizations from scratch.

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GPU Infrastructure

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