Hardware suitable for running embedded machine learning
![nRF9161 SiP for nbiot [nbiot],cellular module](webp/nrf9161_sip_top%20(1)41fc.webp?h=250&iar=0&mh=250&w=380&hash=63A9465299BCAC5FC7023C8DC8D9C9A3 "nRF9161_SiP_Top (1).png")
![nrf9160 sip for nbiot [nbiot],cellular module](webp/nrf9160%20sip%20rev2%201016%20frontd3bd.webp?h=250&iar=0&mh=250&w=382&hash=D70F3088259A7FE96AA8F63696342B52 "nRF9160 SiP rev2 10×16 front.png")
Kits supported in ML Studio
With more to come
Edge AI
Nordic Semiconductor use their experience in ultra-low-power to take wireless technology to the next level, allowing more powerful data processing at the edge, bringing significant benefits to your applications.
Why use Edge AI on your Nordic SoC?
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FEATURE-PROOF: By using Edge AI on your device you can add new and innovative features to your product that makes it to stand out from the competitiors' | ||
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BANDWIDTH & LATENCY: Process data locally in real-time - no need to use bandwidth to send raw data and no time wasted wating for a response from the cloud | ||
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POWER & EFFICIENCY: Local processing uses less power than sending data over the air, allowing your device to have longer operation and smaller battery size | ||
