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This article compares nine self-hosted inference orchestrators (LocalAI, exo, GPUStack, vLLM, and others) available as of September 2026 for deploying language models on local GPU clusters with OpenAI-compatible APIs. The comparison evaluates each platform across multiple dimensions including supported modalities, multi-machine scaling capabilities, caching strategies, operational features, and platform support to help users select the appropriate tool for their infrastructure needs.
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