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Perplexity CEO Aravind Srinivas outlined two approaches to resolve data center power bottlenecks in AI inference. The proposals include hybrid edge-cloud orchestration using local models and deploying solar-powered data centers in space.
Zhipu AI's GLM-5 has been packaged for native execution on Huawei Ascend NPUs using the FlagOS framework, representing the first CUDA-free deployment of a Chinese general-purpose LLM on domestic hardware. This integration satisfies local sovereignty requirements across hardware, model, and inference runtime in a single package.
Sam Goodwin shared a declarative workflow for constructing agentic infrastructure using Alchemy, combining English prompts and TypeScript code in a single TypeScript file. By utilizing string template literals and a simple alchemy deploy command, developers can deploy applications directly to the cloud without manual environment setup.

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