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$1,399 PCIe AI dev card with 32GB and open software
Pros
- Very accessible price
- Open, hackable software
- 32GB memory for the price
- Great for AI hardware dev/learning
Cons
- Recent firmware tensor-core downgrade (120 vs 140 cores)
- Smaller ecosystem than CUDA
- More effort to deploy
- Not for plug-and-play frameworks
✓ Where it shines / best for
- AI hardware developers
- Open-stack experimentation
- Workstation inference
- Researchers on a budget
✕ Not the best fit for
- CUDA-only users
- Production-at-scale simplicity
- Gaming
- Casual users
Features
- ✓ Blackhole RISC-V chip
- ✓ 32GB on-card memory
- ✓ ~664 TFLOPs
- ✓ PCIe form factor
- ✓ Open-source software (TT-Metalium/TT-NN)
- ✓ Ethernet ports for card-to-card
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| p150 card | $1,399 | one-time | p100 ~$2,400 street |
Pricing verified from the official source. Prices change often — confirm on the vendor's site before buying.
Specifications
| use | Developer/workstation AI inference |
| power | ~300W class |
| memory | 32GB |
| performance | ~664 TFLOPs |
| architecture | Blackhole (RISC-V Tensix) |
Sponsored
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