BentoML
Free tierRun AI inference at scale — deploy any model anywhere with full control and no complexity.
Free tier available·Technical·API available·Open source
Key strengths
Self-host anywhere (any cloud or on-premises)Flexible model serving for any architecture/framework/modalityIntelligent auto-scaling with cold-start acceleration and scale-to-zeroDistributed LLM inference across multiple GPUsComprehensive observability and CI/CD deployment automationEnterprise-grade security and data sovereignty
Free tier + paid plans
San Francisco, USA
Founded 2019
Self-hostable
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- Production LLM inference: Deploy and scale large language models (Llama 4, DeepSeek, Qwen, GPT-OSS) using high-performance runtimes like vLLM, TRT-LLM, and SGLang with distributed multi-GPU support across Nvidia and AMD hardware.
- Multi-framework model serving: Serve models built with PyTorch, JAX, Transformers, or HuggingFace through a unified API layer, regardless of architecture or modality.
- Kubernetes-native scaling: Implement auto-scaling with cold-start acceleration and scale-to-zero on Kubernetes for cost-efficient, production-grade inference workloads.
- Self-hosted AI infrastructure: Deploy on any cloud or on-premises environment to maintain data sovereignty and meet enterprise security requirements.
- Generative media serving: Serve image generation models such as Flux with the same framework used for language and other modalities.
- CI/CD for ML: Automate model deployment pipelines with built-in CI/CD integration and comprehensive observability tooling.
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