Automating the Edge with Robotics

AI inference at the rugged edge: Meeting performance with M.2 accelerators

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AI inference at the rugged edge: Meeting performance with M.2 accelerators

Data drives business innovation. It is the driving force behind the advancements that are made possible today. Data is everywhere, powers many applications, and provides people with value to deliver new services and make better decisions. And it is no exception in the industrial environment, where a large amount of data is captured, processed, and analyzed in real time. As automation grows, we are seeing the shift away from the cloud.

Key takeaways from this Premio whitepaper:

– Advancements in IoT devices, artificial intelligence, and edge computing have created a wide range of Edge AI deployments around the world that utilize AI in edge applications.

– The growth of Edge AI is generating a large demand for innovation in computing hardware to meet growing data workloads.

– M.2 Domain Specific Architectures, are unique hardware accelerators designed for specific workloads to help deliver the performance needed at the edge

– Benchmarks featuring HAILO-8™ DSA processors

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