Best BentoML Alternatives in 2026

Modal is a serverless GPU platform that lets Python developers run AI workloads on cloud GPUs without touching infrastructure. Write a function, add a decorator, and Modal handles containers, scaling, and billing down to the second.

Northflank is a full-stack PaaS founded in London in 2019 that lets teams deploy containers, managed databases, GPU inference workloads, and AI sandboxes on Northflank-managed cloud or their own AWS, GCP, and Azure accounts. Built for teams who want Kubernetes power without writing YAML.

LiteLLM is an open-source AI gateway by BerriAI (YC W23) that translates 100+ LLM provider APIs into a single OpenAI-compatible endpoint. Self-host the proxy server to route across OpenAI, Anthropic, Bedrock, and more with spend tracking, rate limiting, and fallback routing built in.

PydanticAI is an open-source Python framework for building production-grade AI agents. Created by Samuel Colvin (creator of Pydantic), it brings FastAPI-style type safety, structured outputs, and dependency injection to agent development. Free, MIT-licensed, 16k+ GitHub stars.

OpenHands is an open-source autonomous AI coding agent by All Hands AI. It plans, writes, executes, and debugs code inside a sandboxed environment without requiring manual approval at every step. Free to self-host; cloud tier available.

Axolotl is a free, open-source LLM fine-tuning framework that lets ML teams run reproducible LoRA, QLoRA, and GRPO training runs on 100+ model architectures using a single YAML config file across multi-GPU setups.

Genkit is Google's open-source AI framework for TypeScript, Go, and Python developers. It provides typed flows, RAG, tool calling, and multi-agent support with a standout local Developer UI for iterating prompts and debugging traces. Free under Apache 2.0.

smolagents is Hugging Face's open-source Python library for building AI agents that write code as actions rather than JSON tool calls. Apache 2.0, ~1,000 lines of core code, supports 100-plus LLMs including local models via Ollama and Transformers.

OpenAI's official open-source framework for multi-agent workflows. Launched March 2025 as the production successor to Swarm. Provides handoffs, guardrails, tracing, and voice agent support in Python and TypeScript.

vLLM is an open-source LLM inference library from UC Berkeley that delivers high-throughput, memory-efficient serving for hundreds of open models. Free under Apache 2.0, with an OpenAI-compatible API and support for multi-GPU deployments.