Why I use it: Run open-source models via API with zero infrastructure. The easiest path to model deployment.
Why I use it: NVIDIA's inference optimizer. Maximum throughput when deploying on NVIDIA GPUs.
Why I use it: Serverless ML cloud defined in pure Python. No Docker, no Kubernetes, no YAML. Just Python.
Why I use it: The fastest open-source LLM inference engine. PagedAttention makes serving efficient.
Why I use it: Open-source model serving framework. Package any model into a production API with auto-scaling.
Why I use it: NVIDIA's production inference server. Multi-framework, dynamic batching, and battle-tested at scale.