Microsoft Azure → Amazon Web Services
AWS equivalent of Foundry fine-tuning
The closest AWS equivalent of Foundry fine-tuning is Amazon Bedrock model customization.
About Foundry fine-tuning
| Provider | Microsoft Azure |
|---|---|
| Status | Generally available |
| What it is | Supervised fine-tuning, preference fine-tuning (DPO), and reinforcement fine-tuning (model-specific), plus distillation via teacher-generated data. Deploy serverless or on managed compute (LoRA adapters, preview). |
| Documentation | learn.microsoft.com |
| Pricing | Official pricing page |
AWS mappings (1)
| Capability | AWS equivalent | Match |
|---|---|---|
| Foundation model fine-tuning & distillation | Amazon Bedrock model customization | Direct match |
Generative AI platforms & models(1)
Foundation model fine-tuning & distillation Direct match
Bedrock model customization maps to Foundry fine-tuning. Both offer supervised fine-tuning, reinforcement fine-tuning, and distillation for selected models.
- Bedrock offers supervised fine-tuning, reinforcement fine-tuning (reward functions written in AWS Lambda, or training from invocation logs), and managed distillation (teacher to student).
- Foundry offers SFT, preference fine-tuning (DPO), and reinforcement fine-tuning (model-specific). Distillation is done through teacher-generated SFT data. Fine-tuned models deploy serverless or on managed compute with LoRA adapters (preview).
- Which base models are tunable differs a lot and changes often. Check each side's supported-model table.