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Physical-AI SoC running GenAI at under 10W, 50-200 TOPS
Pros
- GenAI at very low power
- Full SoC (CPU+vision+AI)
- Scalable performance
- Industrial-grade options
Cons
- Inference/edge-focused
- Smaller ecosystem
- GA for PCIe card mid-2026
- Less brand recognition
✓ Where it shines / best for
- OEMs and product teams building production edge-AI devices for robotics, industrial, smart cameras, and edge servers
- On-device generative AI, LLM, and multi-modal inference where latency, privacy, or power matter
- High TOPS/W deployments in fanless, thermally and power-constrained designs
✕ Not the best fit for
- Datacenter or cloud-scale model training
- Low-cost consumer projects expecting off-the-shelf, cheaply priced parts
- Workloads that do not need dedicated on-device ML acceleration
Features
- ✓ On-device / offline
- ✓ Edge AI
- ✓ Computer Vision
- ✓ Low-power / efficient
- ✓ Generative AI
- ✓ LLM Inference
- ✓ Robotics
- ✓ Transformer
- ✓ Mlsoc
- ✓ System On Module
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Modalix SoM 8GB | $349 | per unit (1K qty) | Commercial-grade System-on-Module with 8GB LPDDR5; reference 1,000-unit pricing. Contact sales for other volumes/tiers. |
| Modalix SoM 32GB | $599 | per unit (1K qty) | Commercial-grade System-on-Module with 32GB LPDDR5; reference 1,000-unit pricing. |
| Modalix MLSoC chip / PCIe card / other form factors | Contact sales for quote | one-time | Offered as bare SoC, SoM, and PCIe HHHL card across M25/M50/M100/M200 TOPS tiers; chip and card pricing is quote-based and depends on tier, memory, and volume. |
Pricing verified from the official source. Prices change often — confirm on the vendor's site before buying.
Specifications
| use | Edge/physical AI inference |
| power | <10W (SoC) to card-level |
| memory | 8GB or 16GB (PCIe card) |
| performance | 50-200 TOPS |
| architecture | MLSoC Modalix (6nm) |
Sponsored
A full review is being generated for this product and will appear here shortly.