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Open-source LLM serving framework with PagedAttention for high-throughput and memory-efficient inference.
Pricing
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Founded
2023
Team size
11-50 employees
Headquarters
Berkeley, CA
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AI/ML Engineer
Pricing model
Free
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About vLLM
vLLM is a high-throughput, memory-efficient inference and serving engine for large language models, known for its PagedAttention memory management and OpenAI-compatible API server. It targets ML engineers and platform teams self-hosting LLMs for fast, cost-efficient batched inference. It supports a wide range of open models, quantization, and distributed multi-GPU serving.
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Pricing model: Free
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Free plan: Yes
Contract minimum: Not specified
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vLLM
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