BentoML
Free tierRun AI inference at scale — deploy any model anywhere with full control and no complexity.
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BentoML's technical documentation covers: self-hosting on any cloud or on-premises environment; API configuration for serving models across diverse architectures, frameworks, and modalities; integration guides for inference runtimes (vLLM, TRT-LLM, SGLang, JAX) and model libraries (PyTorch, Transformers, HuggingFace); model-specific deployment references for Llama 4, DeepSeek, GPT-OSS, Flux, and Qwen; distributed LLM inference setup across Nvidia and AMD multi-GPU configurations; Kubernetes deployment and orchestration; intelligent auto-scaling configuration including cold-start acceleration and scale-to-zero policies; observability instrumentation; CI/CD pipeline integration; and enterprise security and data sovereignty controls.
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