Show HN: A Highly Available Distributed Router for Global Realtime AI

Category: infrastructure

Tags: ai-routing, distributed-systems, gpu-orchestration

Score: 7.7/10 (Innovation: 7, Technical: 8, Documentation: 7, Utility: 8)

Thalamus is a highly available distributed router for global realtime AI workloads, designed to route requests across multiple GPU clusters worldwide while meeting tight latency budgets. It uses a novel architecture with local snapshots synced via Turso, avoiding remote calls on the hot path, which is interesting for solving the global capacity shortage problem in AI inference.

Target audience: backend devs, devops, data engineers

Repository: https://cerebrium.ai/blog/thalamus-our-highly-available-distributed-router-for-global-realtime-ai-workloads

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