The Vecow ECX-2400 AI Computing System has been designed to use the Blaize Graph Streaming Processor (GSP) based Xplorer AI accelerator to deliver much improved AI performance with higher system reliability, lower power consumption and faster time-to-market.
The system is intended for industrial applications such as smart AOI, public security, robotic control, traffic vision, and any Industry 4.0/AIoT applications at the edge that require a lower total cost of ownership (TCO).
The Vecow ECX-2400 AI is powered by workstation-grade 10-core 10th Gen Intel Xeon/Core i9/i7/i5/i3 processor, and incorporates the advanced Blaize Xplorer X1600P PCIe series AI accelerator card supporting up to 80 TOPS of AI inference performance in a compact and ruggedized configuration.
In order to address demanding industrial requirements, it features smart system protection functions including 12V to 50V wide range DC power input, 80V surge protection, software ignition power control and even a 250W system power budget, making it suitable for many mission critical AI accelerating tasks at the edge.
The Blaize software programmable GSP architecture provides a low latency and high- performance inference processing solution requiring less memory with fewer access, yielding a low latency AI system that consumes less power than many other accelerators.
“The Blaize software programmable GSP architecture excels in AI inference for edge-based products and appliances,” said Kev Wang, Applied Software Manager at Vecow. Vecow ECX-2400 AI has integrated the Blaize Picasso SDK into VHub AI developer software, enabling the users to easily develop, deploy and manage edge AI inference systems with single-core or quad-core Blaize Xplorer AI Inference Accelerators.
