Load balancer for vLLM server instances?
On 28 Apr, LocalLLaMA raised a practical deployment question about load-balancing multiple vLLM server instances. Related discussion asked whether round-robin with llama-server could work and what the best practice is for processing batch vLLM API calls with a shared prefix. The available signal contains no later implementation, benchmark, or project decision. The infrastructure question remains unanswered.
If factual, impact is 10%. The discussion affects operators running multiple vLLM instances and developers handling batched API requests. It records no software change. The work remains familiar and unglamorous: deciding where the next request goes.
Watch for a documented configuration, tested implementation, benchmark, or follow-up from the vLLM community establishing a preferred load-balancing approach.
<!-- SC_OFF --><div class="md"><p>Hi,</p> <p>I'm running a local server with three AMD MI50. Tensor parallelism is not an option since it's very slow with PCIe 3.0 and those cards
<!-- SC_OFF --><div class="md"><p>Our agent workflow is currently executing a group of 10 vllm api calls within a <code>asyncio.gather</code> we made them share the same prompt
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