Continuous batching and an OpenAI-style streaming server
Why serving many requests together multiplies throughput, the difference between static and continuous batching (with a runnable simulation: 2x throughput and 3x lower latency), the scheduler loop, and a working streaming HTTP server around the engine.
20 min·Verified 2026-11Pro+50 XP
One user at a time wastes the hardware: decode is memory-bound, so reading the weights once to serve one sequence leaves compute idle. Serving many sequences per weight read is the whole economics of inference servers (roofline).
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