Alternatives to Predibase

Open-source local AI workspace for fine-tuning and running LLMs, image, and video models on your own GPU

Open-source JavaScript library that runs small LLMs like Llama 3.2 1B Instruct inside the browser via WebAssembly and WebGPU.

Open-source Python library for loading, fine-tuning, and running transformer models across text, vision, audio, and video.

SGLang is the open-source LLM serving framework built for high-throughput, low-latency inference on your own GPUs.

Open-source LLM inference and serving engine with PagedAttention, continuous batching and an OpenAI-compatible API.

AnyAPI A/B tests your GPT-3 prompts and ships the winning variant as a live REST API endpoint.

Ruby gem for running open source LLMs locally through Ollama's API, with streaming, embeddings, and token tracking built in.

Managed Ray platform for distributed model training, multimodal data curation, and batch embedding generation on your own GPUs.

TensorRT-LLM is NVIDIA's open-source library for maximum-throughput LLM and visual generation inference on NVIDIA GPUs.

Together Compute is an OpenAI-compatible inference API for serving open-weight AI models at published per-token rates.

Open-source TypeScript AI SDK for streaming AI apps and agents across 100+ models with built-in fallbacks

Mistral is the sovereign AI stack: frontier open-weight models you can self-host, fine-tune, or run in-region.

Dify is an open-source visual builder for agentic workflows and RAG pipelines, deployable on cloud, VPC, or self-hosted Docker.

Guidance is an open-source Python library for constrained LLM generation with regex, context-free grammars, and inline control flow.

Open-source, self-hosted AI assistant and agent framework with unified model routing, a full RAG chain, and local/remote MCP tooling.

Novita AI runs 200+ open-weight LLMs, image, audio and video models through one serverless API, plus GPU cloud and an Agent Sandbox.

Open-source Kubernetes operator for self-hosted LLM, embedding, reranking, and speech-to-text inference with an OpenAI-compatible API.

PrivateGPT is the open-source on-premise RAG framework for local document Q&A — 57k GitHub stars, zero cloud calls.

Open-source Java library that tokenizes text with OpenAI's BPE encodings so you can count, encode and decode locally

Open-source Ruby gem giving one unified API across Anthropic, DeepSeek, Google, Mistral, Llama, and OpenAI

Open-source Ruby gem that calls 11 LLM providers through one consistent interface for embeddings, completions, and chat.

Open-source Rust tokenization library for training BPE, WordPiece and Unigram vocabularies at production speed.

MAX Engine: OpenAI-compatible inference for open models, one stack across NVIDIA, AMD, Apple silicon, and Qualcomm.

Groq runs an inference cloud tuned for fast LLM inference on open-weight models, built on its LPU and LPX silicon.

DeepInfra delivers serverless AI inference on 100+ open models through one OpenAI-compatible API key.

BitNet (bitnet.cpp) runs 1-bit and ternary BitNet b1.58 LLMs on CPU with lossless 1.58-bit inference — no GPU needed.

Modular runs one AI inference stack — same model, container, and OpenAI-compatible API — across NVIDIA, AMD, TPU, Trainium, and Qualcomm

SambaNova Cloud delivers fast, energy-efficient inference for open-weight models like MiniMax M2.7 and DeepSeek-V3.1 on its own RDU chips.

OpenAI Cookbook delivers free, MIT-licensed Python notebooks and guides for building with the OpenAI API.

GMI Cloud Inference Engine runs text, image, video, and audio models behind one OpenAI-compatible API on dedicated NVIDIA GPUs.