www.design-reuse-embedded.com

SEARCH SOLUTIONS

- Categories
- RISC-V
- Embedded Processing
- 5G, 3GPP LTE SoCs
- IoT SoCs
- Artificial Intelligence SoCs
- Automotive SoCs
- Space and Avionics
- Security Solutions & SoCs
- Audio & Video SoCs
- Design Platforms
- Monitoring and Verification
- SoC Design Services
- Find your best SoC design partner

Partner Videos D&R Events

- IP-SoC Days 2024
- IP-SoC Days 2023
- IP-SoC Days 2022
- IP-SoC Days 2021
- IP-SoC Days 2020
- IP-SoC 2023
- IP-SoC 2022
- IP-SoC 2021
- IP-SoC 2020

On Demand Webinars NEWS

Find Top SoC Solutions

for AI, Automotive, IoT, Security, Audio & Video...

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.

Click here to read more ...