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AI Accelerator Targets Video Analytics at the Edge
The US AI accelerator startup, one of the first to talk about its compute-in-memory technique, has launched a 4-W chip for video analytics at the edge...
www.eetasia.com, Nov. 23, 2020 –
AI accelerator chip startup Mythic has launched its first product, a 35-TOPS "high-end edge" accelerator whose analog compute-in-memory architecture enables low power consumption and low cost, alongside low latency and deterministic behaviour.
The M1108 uses Mythic's analog compute-in-memory technique based on 40-nm Flash memory cells. It's aimed at edge applications such as power-over-ethernet security cameras that need to run sophisticated AI models within a power budget. Another likely application is video analytics boxes which need to accelerate multiple AI models on high-resolution footage while managing power and heat.
Mythic's AI accelerator chip is capable of a substantial 35 TOPS. The market leader in this space, Nvidia's Xavier AGX, clocks in at 32 TOPS.
The M1108's typical power consumption is just 4 W (compared to Xavier AGX's typical 10-30 W), Mythic's solution is smaller since no external DRAM is required, and Mythic expects the M1108 to compare well on price, since its 40-nm silicon doesn't require a cutting-edge process node.
Mythic says its M1108 can run 870 fps on ResNet-50 (batch size 1) and 60 fps on Yolo v3-608×608 (batch size 1 video feed).
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