Smarter Networks, Smarter AI: SMARTY’s Decentralized Feature Extraction
What if your network could automatically extract and feed critical data to AI systems without compromising performance?
The SMARTY project is developing Decentralized Feature Extraction (DFE)—a breakthrough technology that:
- Extracts network/device features in real-time using NVIDIA Bluefield DPUs.
- Supports distributed AI by decentralizing data collection.
- Boosts efficiency by offloading feature extraction to programmable NICs/DPUs.
Traditional centralized data collection creates bottlenecks. DFE enables:
- Real-time telemetry for AI models (traffic patterns, device stats, etc.).
- Scalable distributed learning—ideal for telecom, IoT, and edge AI.
- Hardware-accelerated processing via DOCA SDKs (no CPU overhead!).