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No NN-dedicated hardware on Qualcomm IoT processors
April 12, 2018 // By Peter Clarke, eeNews
Qualcomm has announced two 10nm processors in support of IoT applications computing at the edge of the network, the quad-CPU QCS603 and the octa-CPUQCS605.
The chips are described as being part of the Qualcomm Vision Intelligence Platform although they provide support for both visual and audio processing. The SoCs include advanced camera processing software, machine learning and computer vision software development kits (SDKs), and connectivity and security technologies.
Both processors provide a lot of CPU, GPU, DSP and other processing resources. However, as with Qualcomm's Snapdragon line of processors it appears that while Qualcomm is prepared to support machine learning in software it is yet to provide dedicated hardware to accelerate this function. Both chips claim to support Tensorflow, Caffe and Caffe2 and other machine learning development environments using the Snapdragon Neural Processing Engine.
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