Warehouse integration with vLLM version 0.10.1+ provides a production-grade deployment solution that supports OpenAI-compatible API services via pre-built wheel packages. On H100GPUs, vLLM achieves inference speeds of 120 tokens per second, which is 3x faster than native Transformers. To deploy, simply runvllm serveCommand can start RESTful services, support for dynamic batch processing and continuous batching (continuous batching) and other industrial-grade features for highly concurrent production environments.
This answer comes from the articleCollection of scripts and tutorials for fine-tuning OpenAI GPT OSS modelsThe
May not be reproduced without permission:AI productivity tools " vLLM framework enables efficient deployment of GPT OSS models
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