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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
- Azure OpenAI inference
- Microsoft internal AI
- Azure-native enterprises
- Cost-optimized cloud AI
✕ Not the best fit for
- On-prem
- Multi-cloud
- CUDA workflows
- Edge
Features
- ✓ Custom Azure AI silicon
- ✓ 3x FP4 vs Trainium3 (claimed)
- ✓ Successor to Maia 100
- ✓ Integrated liquid cooling
- ✓ Tuned for Azure OpenAI workloads
- ✓ Vertically integrated rack design
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Azure (consumption) | Cloud rental (varies) | one-time | Internal/Azure service; not sold |
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.