Vecow, an embedded PC company, is launching a new AI-powered edge computing solution in partnership with AI edge firm Blaize.
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.
Powered by workstation-grade 10-core 10th Gen Intel Xeon/Core i9/i7/i5/i3 processor, the system incorporates the advanced Blaize Xplorer X1600P PCIe series AI accelerator card supporting up to 80 TOPS of AI inference performance in a compact and rugged configuration.
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.
Kev Wang, applied software manager at Vecow, said: “The Blaize software programmable GSP architecture excels in AI inference for edge-based products and appliances.”
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.
Barrie Mullins, senior director of product marketing at Blaize, said: “We look forward to jointly engaging with end customers and channel partners to deliver the new levels of efficient and cost-effective AI inference systems enabled by the Vecow ECX-2400 AI.
“Industrial customers using vision analytics in use cases such as industrial inspection, manufacturing production line anomaly, human robot interaction, employee safety and smart camera systems can utilise the ECX-2400 AI to advance operational efficiencies and processes.”
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