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Azure's second-gen custom AI accelerator, 3x FP4 of Trainium3
Pros
- Strong perf-per-dollar in Azure
- Big leap over Maia 100
- Tight Azure/OpenAI integration
- Reduces NVIDIA dependence
Cons
- Azure-only
- Not sold to customers
- Limited public benchmarks
- Software ecosystem nascent
✓ Where it shines / best for
- Microsoft/Azure first-party AI services and Copilot/OpenAI workloads
- Reducing Azure's reliance on third-party GPUs at scale
- Large transformer training and inference within Azure
✕ Not the best fit for
- Direct hardware purchase (not sold standalone)
- Non-Azure deployments
- Workloads needing the open CUDA ecosystem on-prem
Features
- ✓ LLM
- ✓ API access
- ✓ Inference
- ✓ Training
- ✓ Hbm
- ✓ Custom ASIC
- ✓ Ethernet
- ✓ In House Silicon
- ✓ Azure
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Internal / Azure-only | Not separately sold | n/a | Maia is Microsoft's custom AI accelerator for Azure; consumed indirectly via Azure AI services rather than sold or priced as standalone hardware. Maia 200 is a next-gen successor to Maia 100. |
Pricing verified from the official source. Prices change often — confirm on the vendor's site before buying.
Specifications
| use | Azure AI inference and training |
| power | Liquid-cooled rack |
| memory | HBM (large) |
| performance | ~3x FP4 of Trainium3 (claimed) |
| architecture | Maia 200 custom (TSMC 5nm-class) |
Sponsored
A full review is being generated for this product and will appear here shortly.