Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM…
Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.
davila7
cli
free
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