Nuclio

Nuclio is the serverless platform built for data-heavy workloads. Where OpenFaaS and Knative target generic HTTP functions, Nuclio is tuned for real-time event processing: streaming ingest, ML inference, image and video pipelines, and anything that needs to push hundreds of thousands of records per second. Iguazio created it, and they claim 10-100x throughput over competing serverless engines for those workloads.

Apache 2.0, runs on Docker, Kubernetes, or edge devices, with first-class GPU support and scale-to-zero. Triggers cover HTTP, Kafka, Kinesis, NATS, S3 events, and the data integrations the ML world cares about. The Jupyter and Kubeflow integrations are first-class; data scientists deploy functions from notebooks without writing Kubernetes manifests.

Solo data scientists and small ML teams: this is genuinely useful. It's the closest open source thing to a managed Modal or Replicate for serverless inference. Large teams with serious data science operations: pair it with MLRun and Kubeflow for a complete MLOps stack. Teams that just want HTTP functions: use OpenFaaS or Knative, you don't need Nuclio's complexity.

The catch: this is open core. Nuclio is the open source layer; the production-grade enterprise experience lives inside Iguazio's commercial Data Science Platform. The OSS version is real and complete enough to run in production, but the most polished operations are upsold.