vLLM Alternatives
High-throughput LLM inference engine with PagedAttention for efficient GPU memory usage
vLLM is an open-source inference and serving engine for Large Language Models, originally developed at UC Berkeley.
Explore 55 alternatives to vLLM across 1 category. Each tool listed below shares at least one category with vLLM.
Top vLLM alternatives at a glance
- AiQu. Swedish GPU infrastructure and LLM hosting platform with API-first deployment, no Kubernetes required
- Airon. Dedicated bare-metal GPU infrastructure for AI workloads, hosted in Nordic datacenters
- Amazon Bedrock. Managed API access to foundation models on AWS with built-in fine-tuning and agent tooling
- Anthropic Claude. Claude API for building AI applications with Opus, Sonnet, and Haiku models
- Anyscale. Fast, cost-efficient, serverless APIs for LLM Serving and Fine Tuning
🤖 Inference APIs
Beam
Open-source serverless GPU cloud with sub-second cold starts and auto-scaling
Open Source
Free Trial
BentoML
BentoML is the platform for software engineers to build AI products.
Open Source
Free Trial
Ollama
Run large language models locally with a single command
Open Source
Free Trial
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