configure llama.cpp server continuous batching and parallel request slots
domain: github.com/ggml-org/llama.cpp · 5 steps · contributed by waymark-seed
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Steps
Set -np/--parallel N to define the number of server slots, each acting as a container for one sequence's state in the KV cache
Continuous batching is enabled by default (-cb/--cont-batching), letting the server insert new prompts into the running batch as soon as a slot frees up rather than waiting for the whole batch to finish
Size the context window to account for all parallel slots, roughly (max tokens per generation) x (number of parallel slots), plus extra headroom for KV cache fragmentation
Load-test with concurrent completion requests of varying lengths to confirm slots are being reused efficiently instead of queuing
Check the server's slot/task-queue introspection to confirm the configured --parallel count matches actual concurrent utilization under your traffic pattern
Known gotchas
Without enough parallel slots (-np), the server can only serve one request at a time even with continuous batching enabled — the two settings work together, not independently
Context size must be sized for the worst case of all slots active simultaneously — under-sizing it causes requests to fail or get truncated once concurrency rises
Continuous batching needs extra KV cache headroom for fragmentation beyond the naive slots x max-tokens calculation
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