Show HN: Lifeboat, 2-6x more concurrent agent sessions per GPU, no quantization

Category: ai-ml

Tags: llm, inference, self-hosted, api-compatible, edge-computing

Score: 7.5/10 (Innovation: 7, Technical: 8, Documentation: 8, Utility: 7)

Lifeboat is a self-hosted inference server that runs open-weight language models on local hardware with an OpenAI/Anthropic-compatible API, offering a load balancer, web console, and multi-platform support from laptops to clusters. It claims 2-6x higher concurrency per GPU without quantization, achieved through proprietary optimizations, and targets edge devices alongside traditional servers. The project is notable for its polished documentation, broad platform coverage, and focus on data privacy, though the source is closed.

Target audience: devops, backend devs, data engineers, AI practitioners

Repository: https://github.com/IterateAI/lifeboat-releases · Python

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