The open-source stack for high-throughput LLM serving and elastic model orchestration.
vLLM is the open-source inference engine optimised for throughput on GPUs, with PagedAttention and continuous batching. Ray Serve adds elastic, distributed orchestration of model replicas and pipelines. Together they form the open stack for high-throughput LLM serving at scale.
I design vLLM and Ray Serve deployments tuned for your throughput, latency and cost targets, with multi-tenant isolation, GPU scheduling and security boundaries. I integrate the stack with the broader observability and security tooling.