Part 1: Designing an Inference Gateway
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#ai#distributed-systems
Tracing a request through the system that sits between you and the LLM.
← All thoughts
Cloud Inference
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Part 2: Inside the GPU Server
·#ai#distributed-systemsWeight streaming, KV caches, and why inference routing is a different problem.
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Part 3: Routing Inference Requests
·#ai#distributed-systemsBuilding a cache-aware router, pointing it at real GPUs, and measuring the tradeoff between latency and throughput.