Run a vLLM Server on HF Jobs in One Command
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Hugging Face has streamlined the deployment of private, OpenAI-compatible large language model endpoints using a single command on its HF Jobs infrastructure. The process operates on a pay-per-minute hardware billing system, allowing users to spin up a vLLM server without provisioning servers or managing Kubernetes. Once active, the secure endpoint can be queried from any location using a Hugging Face API token.
Hugging Face users can launch a private, OpenAI-compatible LLM endpoint on the platform's infrastructure with a single command, with no need to provision servers or manage Kubernetes. The endpoint is suitable for tests, evaluations, or batch generation and is billed per minute by hardware usage. The service is compatible with OpenAI's API and can be queried from anywhere using a Hugging Face token.