vLLM
High-throughput LLM serving engine
Local AI InfrastructureFree (open-source)★ 45,000Works with OpenClaw
About vLLM
vLLM is a high-throughput, memory-efficient inference engine for LLMs. It uses PagedAttention for optimal GPU memory management and supports continuous batching, making it one of the fastest open-source inference solutions.
Features
PagedAttention
Continuous batching
Tensor parallelism
OpenAI-compatible API
Multi-GPU
Quantization
The tally
FOR
- +Extremely fast inference
- +Efficient GPU memory usage
- +OpenAI-compatible API
- +Continuous batching
- +Production-ready
AGAINST
- −Requires NVIDIA GPU
- −Complex setup for beginners
- −Limited model format support
- −Heavy resource requirements
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