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A high-throughput large model inference and serving engine
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PagedAttention manages VRAM and continuous batching raises concurrency, giving clearly higher generation throughput on both single-GPU and multi-GPU clusters. It offers OpenAI-compatible serving endpoints, quantization, and tensor parallelism, making it a common choice for large-scale production inference.
Inference engineHigh throughputServing