Anyscale alternatives

Together AI

Featured

Fine-tuning · Llama / Mistral / Qwen / DeepSeek and others

8.6

Fine-tune & serve open-weight models (Llama, Mistral, DeepSeek).

Modal

Fine-tuning · Infrastructure (any model you can host)

8.7

Serverless GPUs and infra for training & serving ML.

Replicate

Fine-tuning · Thousands of community + first-party models

8.5

One-API platform for running and fine-tuning open-source models.

OpenAI Fine-tuning

Fine-tuning · GPT-4o-mini / GPT-3.5

8.4

Fine-tune GPT-4o-mini and friends on your own data.

Lamini

Fine-tuning · Lamini (built on open base models)

7.7

Memory-tuning platform for grounding LLMs in your facts.

Apache SINGA

Fine-tuning

Apache-licensed distributed deep learning library focused on scalable training across GPUs and nodes.

CoreWeave

Fine-tuning

AI-native GPU cloud built for large-scale training, fine-tuning, and inference on NVIDIA hardware.

DagsHub

Fine-tuning

GitHub-style collaboration platform for ML datasets, experiments, and models with MLflow and DVC under the hood.

Edge Impulse

Fine-tuning · Multi-model (TF Lite Micro, custom DSP blocks)

End-to-end platform for training and deploying ML models on microcontrollers, sensors, and other edge hardware.

FedML

Fine-tuning · Bring-your-own (PyTorch, Hugging Face)

Distributed training, fine-tuning, and serving platform with federated learning roots.

Fireworks AI

Fine-tuning · Multi-model (DeepSeek, Qwen, GLM, Kimi, Gemma, Minimax, others)

Production inference and fine-tuning platform for open-source LLMs, tuned for speed and enterprise economics.

Forefront

Fine-tuning · Multi-model (Mistral-7B, Mixtral, Phi-2)

Fine-tune and serve open-source LLMs on your own data without managing GPUs.