The healthcare market is changing rapidly. Driven by the Internet of Things (IoT) and decentralized computing trend, the demand grows up for Edge AI.
The typical AI systems developer project requirements:
- Real-time parallel processing
- Powerful GPU graphics acceleration
- Easy server configuration and scalability
- Continuous 24/7 systems availability
- Server durability
- Long term availability
- Multiple high-speed storage trays
FX-3420: Edge AI Server Appliance for Medical
Medical AI software has certain hardware requirements for multi-core processing power, integrated BIOS security, GPU acceleration and scalability. To meet the hardware requirements in medical applications, Lanner provides edge AI platforms that consolidate dual Intel Xeon Scalable Family for parallel processing required in sophisticated medical imaging diagnosis, dual PCI-E expansion slots for GPU acceleration cards, 14x storage trays and redundant power supply.