nuclio/nuclio

Health v2 · maintenance only

Adoption not part of the score

5750 stars · 567 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Nuclio is a high-performance open-source serverless (FaaS) platform for real-time event and data processing, deployable standalone via Docker or on Kubernetes. It supports CPU and GPU workloads, integrates with data science tools like Jupyter and Kubeflow, and handles hundreds of thousands of function invocations per second.

Use cases

• deploy serverless functions on kubernetes
• process real-time event and IoT sensor streams
• run AI inference as serverless functions with GPU support
• build data transformation and movement pipelines
• deploy functions from jupyter notebooks
• run a self-hosted FaaS platform without cloud lock-in

When to choose

• you need high-throughput, low-latency function invocation (100k+ req/s)
• your workloads are data, I/O, or compute intensive, including GPU inference
• you want serverless on Kubernetes, on-prem, edge, or multi-cloud without vendor lock-in
• you integrate serverless functions into data science workflows (Jupyter, Kubeflow, MLRun)

When to avoid

• you only need simple scheduled cron jobs or lightweight background tasks
• you prefer a managed FaaS offering like AWS Lambda and are on AWS already
• your team lacks Kubernetes or Docker operational experience
• you need a broad ecosystem of third-party function marketplaces

Facets

service · maturity stable

serverless deployment microservices streaming etl gpu-computing container-runtime api-framework cloud-computing machine-learning big-data go cloud self-hosted cross-platform faas serverless-platform event-processing data-science iguazio mlrun function-as-a-service gpu-support data-engineering devops containers real-time kubernetes docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="nuclio/nuclio")