FedML alternatives
6 fine-tuning tools in the same lane as FedML, ranked by editorial score.
MO
Modal
Fine-tuning · Infrastructure (any model you can host)
8.7
Serverless GPUs and infra for training & serving ML.
Freemium· $30/mo free credits; pay-as-you-go GPU ratesserverless GPUfine-tuning
FA
Fireworks AI
Fine-tuning · Multi-model (DeepSeek, Qwen, GLM, Kimi, Gemma, Minimax, others)
7.9
Production inference and fine-tuning platform for open-source LLMs, tuned for speed and enterprise economics.
Freemium· Free signup credits; pay-per-token from ~$0.14/M in; enterprise reserved capacity on requestllm-fine-tuningserverless-inference
VE
Velda
Fine-tuning
6.7
Serverless GPU orchestration that runs AI training and batch jobs without Docker or Kubernetes.
Freemium· Free monthly credits on Velda Cloud; Enterprise contact salesdistributed-trainingbatch-inference
RU
RunPod
Fine-tuning · Bring-your-own (any open-weight or custom model)
8.3
On-demand GPU cloud and serverless inference platform built specifically for AI workloads.
Paid· Pod: $7.39/hr · Pod: $4.39/hr · Pod: $5.89/hr · Pod: $1.99/hr · Pod: $3.19/hrllm-fine-tuninggpu-rental
LU
Ludwig
Fine-tuning · Multi-model (PyTorch + HuggingFace Transformers)
8.2
Declarative, YAML-driven deep learning framework for fine-tuning LLMs and multi-modal models without writing training loops.
Free· Free, Apache 2.0 open sourcellm-fine-tuningmulti-modal-training
PG
Paperspace Gradient
Fine-tuning · Bring-your-own (PyTorch, TensorFlow, Hugging Face)
7.2
End-to-end MLOps platform with GPU notebooks, training jobs, and model deployment, now folded into DigitalOcean.
Freemium· Free: $0 · Pro: $8 · Growth: $39 · T0: $0 · T1: $12model-trainingfine-tuning