Self-Hosting and Infrastructure

KitOps is an open-source tool for packaging, versioning, and sharing AI/ML models, datasets, code, and configuration as OCI-compatible artifacts called ModelKits.

Dagger is an open-source programmable CI/CD and workflow engine that runs pipelines as portable containerized functions across local machines, CI systems, and self-hosted infrastructure.

Dokploy is an open-source, self-hosted platform-as-a-service for deploying applications, databases, and Docker-based services on your own servers.

Runpod is a cloud GPU platform for renting GPU instances and deploying serverless AI workloads, commonly used for model training, fine-tuning, and inference.

Modal is a serverless cloud platform for running AI, ML, data, and compute-heavy Python workloads without managing infrastructure.

BentoML is an open-source framework for packaging, serving, and deploying machine learning and AI applications as production-ready services.

KServe is a Kubernetes-native model serving framework for deploying, scaling, and managing machine learning inference workloads in production.

NVIDIA NIM is a self-hostable inference runtime and containerized microservice platform for deploying optimized generative AI models on NVIDIA GPUs.

SGLang is an open-source high-performance runtime and serving framework for self-hosting large language and vision-language models with efficient batching, KV-cache reuse, and OpenAI-compatible APIs.

A modern PaaS platform focused on developer experience with one-click deployments for various application types, built-in CI/CD pipelines, managed databases, and automatic scaling capabilities.

An open-source self-hosted Platform-as-a-Service alternative to Vercel and Railway. It enables developers to deploy applications, databases, and services on their own infrastructure with minimal configuration.