Alternatives to Anyscale Endpoints

Managed Ray platform for distributed training, multimodal data curation, batch embedding, and post-training on your own GPUs

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

Free AI image and text generation on Stable Horde — volunteer GPUs, no account needed.

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

Mesh LLM splits giant open-weight models across your own GPUs and serves them as one local OpenAI-compatible endpoint on localhost:9337.

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

Predibase: managed fine-tuning and multi-LoRA serving for open-source LLMs, now inside Rubrik.

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.

One REST API for text, image, audio, and video generation — no API key needed to start

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

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

Runware is a pay-as-you-go inference API for image, video, audio, 3D and LLM generation on one endpoint.

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

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

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

Run Llama 3.1 405B and other huge language models at home over a BitTorrent-style decentralized inference network.

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

Pioneer is a self-improving inference API that routes every call to the right model and retrains itself from your production traffic.

TokenHot is an OpenAI-compatible LLM API gateway that cuts model costs up to 90% with one base URL swap.

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

Wafer Pass swaps per-token inference billing for a flat-rate subscription on open models like GLM, Qwen, DeepSeek, and Kimi.

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

Cerebras inference runs GPT-5.6 Sol Ultrafast at up to 750 tokens/sec on wafer-scale hardware for latency-critical agents, code tools, and

Etched builds custom inference silicon and rack-scale frontier inference clusters for trillion-parameter MoE prefill and decode.

Chiplet-based AI inference accelerators — Rebel100 silicon, RebelCard, RebelServer, RebelRack and RebelPOD for enterprise LLM inference.

Decentralized, unfiltered AI inference on a peer-to-peer GPU network.

LocalAI is an MIT-licensed local AI runtime that serves text, voice, vision, image and agent workloads behind an OpenAI-compatible API.

Parallax turns mismatched machines into one self-hosted LLM cluster for decentralized inference.