Deep Vision ARA-1 processor offers optimal balance of compute, memory, and energy efficiency in a compact form factor, making it the definitive choice for edge applications where requirements span high compute requirements, model flexibility, energy efficiency, and an integrated software tool suite. Purpose-built to drive today’s most complex Edge AI applications with high performance at the lowest power.
Latency Optimized Design
Optimized to deliver results for a batch size of ‘1’, the Deep Vision ARA-1 Edge AI processor delivers results real time to meet the needs of edge applications
Zero Load on host
The unique hardware design ensures that compiled models place no load on host processors, freeing them from inference application demand
Bigger, Better Deep Learning Applications
Deep Vision ARA-1 Edge AI Processor can effectively run multiple models without a performance penalty, generating results faster and more accurately.
A New Standard in Flexibility
The processor provides incredible flexibility in implementing highly scalable, low-latency, low power applications.
Ideal for small form factor solutions such as NVR devices with a USB3.0 interface, the Deep Vision’s USB module supports up to 16 camera feeds while offering a compact form factor with a plug and play convenience.
Ideal for small form factor devices such as NVR devices and gateways with a PCIe interface, the Deep Vision’s M.2 module supports up to 16 camera feeds while offering a compact form factor with a plug and play convenience.
For edge servers that demand the highest performance at the lowest latency and power, the Deep Vision’s U.2 module scales in performance, carrying up to 4 discrete Deep Vision ARA-1 Edge AI Processors on a single module and delivering the best performance suitable for large AI workloads.
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