3 ms·

I've played around with some of the new 'Edge' accelerators (specifically Edge TPU and Intel NCS 2). The performance and energy efficiency of the Edge TPU espec

I've played around with some of the new 'Edge' accelerators (specifically Edge TPU and Intel NCS 2). The performance and energy efficiency of the Edge TPU especially is really amazing for the price. Does anyone know of any other edge devices worth evaluating at a similar price point (other than Nvidia Jetson)?

rajnathani 7y ago
If your model can fit within 10MB, and is based on CNNs, then Gyrfalcon’s [0] ‘compute in memory’ inference chips can in theory provide 3-4x higher TOPS/watt compared to the above inference chips you’ve mentioned, with around 12.6 TOPS/watt for one of their latest chips [1]. Their chips already seem to be in some new devices [2] [3]. [0] https://www.gyrfalcontech.ai/ https://www.gyrfalcontech.ai/ [1] https://www.eetimes.com/gyrfalcon-unveils-fourth-ai-accelerator-chip/ https://www.eetimes.com/gyrfalcon-unveils-fourth-ai-accelera... [2] https://www.zdnet.com/article/ai-comes-to-the-edge-with-solidrun-and-gyrfalcons-ai-inference-server/ https://www.zdnet.com/article/ai-comes-to-the-edge-with-soli... [3] https://www.prnewswire.com/news-releases/lg-launched-phone-powered-by-gyrfalcon-technology-incs-ai-chip-300933178.html https://www.prnewswire.com/news-releases/lg-launched-phone-p...