Alternatives to Baseten

Run open-weight model inference on Together AI — serverless APIs, batch jobs, and GPU clusters.

Run and fine-tune image, video, speech and LLM models with one Replicate API call

Serverless AI inference on 100+ open models via an OpenAI-compatible API, billed per token with no GPU overhead.

Fireworks AI runs open-model inference with per-token pricing, model routing, and fine-tuning on one platform.

OpenAI-compatible multimodal inference API on dedicated NVIDIA GPUs, from $2.60/GPU-hour

High-performance AI inference platform for production ML models.

Runware is one inference API for 400K+ image, video, audio, LLM and 3D models on a single endpoint.

Cerebras inference cloud: frontier LLMs at up to 750 tokens/sec for real-time agents and voice AI.

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

Rent GPUs on Vast.ai's marketplace — 20,000+ cards, per-second billing, and API-native provisioning agents can drive.

Serverless APIs for 200+ open-weight LLM, image, audio, video and vision models, plus GPU cloud and an agent sandbox.

Salad Cloud rents idle consumer GPUs from $0.015 per GPU-hour, billed per second, for retryable inference and batch work.

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

vLLM turns open-weight LLMs into high-throughput, OpenAI-compatible inference endpoints on your own GPUs.

FuriosaAI's RNGD inference accelerators and NXT RNGD Server serve LLMs in 3 kW air-cooled racks via OpenAI-compatible APIs.

Deploy your own ML models on serverless Nvidia GPUs, billed per second with scale-to-zero.

Parallax is a distributed model serving framework for building your own self-hosted AI cluster across scattered GPUs, Macs, and

Flat-rate subscription offering unlimited inference on open models GLM, Qwen, DeepSeek, and Kimi, tuned continuously for your traffic type.

Mesh LLM splits large open-weight models into layer ranges across your own GPUs and serves them through one OpenAI-compatible endpoint at localhost:9337.

Crusoe Cloud GPU instances, serverless inference, and fine-tuning priced for AI teams that want orchestration included

Self-hosted control plane that turns your own GPUs into OpenAI- and Anthropic-compatible model endpoints

Flama packages any trained model into one .flm file and serves it as a production HTTP API with a single CLI command.

Rain AI is a pre-production hardware company building energy-efficient, brain-inspired analog in-memory chips for ultra-low-power AI inference at the edge.

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

Per-second-billed cloud GPUs (H100, A100, A6000, V100) with 1-click Jupyter notebooks, model deployment, and distributed training in beta.

Freesolo is a managed post-training platform that turns your dataset into a production-ready small language model via Claude Code, Cursor,

Cocoon is Telegram's decentralized confidential AI inference network on TON, paying GPU owners in TON to serve models inside Intel TDX enclaves.

Run fast, self-hosted inference for LLMs, vision-language and diffusion models with SGLang serving.

Rack-scale AI inference system using log-space math to serve multi-trillion-parameter models at 608 PFLOPS per rack.

Open-source BentoML toolkit for packaging and serving diffusion models like Stable Diffusion and Flux as scalable APIs.