Frontier labs are betting AGI models will be so good you won’t ever want to customize them. We think different. Building on a closed platform means renting your intelligence. The landlord sets the terms. They can give notice at any moment that your fine-tuning lease will not be renewed. As AI natives, we think you should own your AI. Your data, your domain expertise, your moat. Start training today on the Fireworks AI Training Platform. https://fireworks.ai/train

Train your own AI | Fireworks AI

Source: https://fireworks.ai/train FIREWORKS TRAINING - NOW IN PREVIEW

Train and Deploy Your Models at the Frontier

Full-parameter training, custom loss functions, and frontier RL. All on the same infrastructure already serving production for Cursor, Vercel, and Genspark.

Own your model, own your future. Make your data your moat.

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THREE ENTRY POINTS, ONE PLATFORM

Start where you are. Go as far as you need.

Training & inference together on one platform. Choose the level of control you need.

DEPLOY CUSTOM MODELS AT SCALE

Serve hundreds of fine-tuned models on a single GPU

Training a great model is only half the battle. Fireworks multi-LoRA deployments serve hundreds of personalized LoRA models per GPU, deployed in one click, with zero extra infrastructure cost. Your training flywheel produces better models. Multi-LoRA makes deploying them economically viable.

PROVEN IN PRODUCTION

AI teams building the future train on Fireworks

FROM THE BLOG

Hard-won lessons from training open models at scale

COMPARISON TO ALTERNATIVES

Fireworks AI is the only platform to combine full-spectrum training and built-in inference

ALTERNATIVEEXAMPLESTHE LIMITATIONFIREWORKS ADVANTAGEClosed ModelsOpenAI, AnthropicNo weight ownership. High cost. Zero portability. No retraining loop.✅ Open-source models you fully own. Retrain and redeploy continuously.Training-OnlyFragmented vendorsTrain here, serve elsewhere. Every iteration pays a migration tax.✅ Unified platform. Training completes → model is live → collect data → retrain.Cloud-NativeAWS, GCPTraining and inference are separate silos. No open model expertise.✅ Model-agnostic. 1-click hot-loading from training to inference.Self-managedPyTorch distributed3-6 months of infra work before your first model trains. Ongoing ops burden.✅ Deploy on day one. Engineers build applications, not dev ops. What does “preview” mean? Is this production-ready?Preview means the platform is live and serving real production workloads today. Cursor, Vercel, and Genspark are all running on Fireworks Training in production. It also means pricing and some features are still stabilizing before GA. Enterprise SLAs and GA timelines are available on request.Talk to our teamif you have specific requirements.

Is my training data used to train Fireworks models?No. Your data is used solely to fine-tune your models. We do not use nor share your training data for any purposes, and stand firmly by ourzero data retention policy.

What’s the difference between Training Agent, Managed Training, and Training API?1. Training Agentis fully automated: describe your goal, upload data, get a deployed model. No ML knowledge required. Currently LoRA-only. 2. Managed Traininggives you control over the training method (SFT, DPO, or RFT) while we handle all infrastructure. Supports full-parameter training. 3. Training APIgives you full algorithmic control: bring your own training loop, write custom loss functions, run frontier RL. For advanced ML teams and researchers. See the comparison table above for a full breakdown.

How long does a training run take?It depends on model size, dataset size, and training method. A small LoRA job on Qwen3 8B with a few thousand examples typically completes in under an hour. Larger full-parameter runs on frontier models take longer. See thecost estimator in our docsfor estimates by scenario.

START BUILDING TODAY

Build your continuously learning flywheel today

Whether you’re looking for fully self-serve (agentic) tooling, a managed service, or need the full control and granularity of our Training API, the Fireworks AI Training platform can help you to train any open-source model to deliver frontier quality performance.