Ambient has developed the groundbreaking DigAn AI architecture that can scale from 5-cores to 8000 cores and from 40nm technology to 7nm or even 5nm technology. With such versatile and scalable architecture, Ambient Scientific team plans to build a roadmap of AI processors to address range of Edge AI applications starting from Endpoint AI devices. Our first products in the family of GPX AI processors, GPX-10 and GPX-5 are here.
GPX-10 is a high performance, ultra-low power AI processor for Always-On embedded AI applications using deep learning algorithms. GPX-10 is a single chip AI computer. It is an integrated SoC, with 10-DigAn AI cores, 8 simultaneous sensor inputs, ultra-low-power ADC, custom memories, ARM M4F processor and numerous peripherals
Ambient Scientific’s full featured software development kit (SDK) supports AI-algorithm and model development using Tensor flow framework with Pytorch, Cafe, and other popular AI frameworks coming in the near future.
The GPX-5 is an AI inference processor. It is a smaller version of GPX-10 with only 5-cores. It can be used as a stand-alone SoC or as companion co-processor for AI inference. GPX-5 is an integrated SoC, with 5-DigAn AI cores, 8 simultaneous sensor inputs, ultra-low-power ADC, custom memories, ARM M0 processor and numerous peripherals.
Ambient Scientific provides tools for application developers to implement any neural network model and other non-AI functions onto GPX processors. The Ambient SDK lets you build your AI applications in popular languages then compile your code to your GPX processors. Build your own models and scale your IP across your GPX enabled devices with the Ambient SDK.
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Harvest your data from the GPX-10 and program on-device training with the Ambient Training Vault. Under a subscription model, you can retrieve your device collected data and use it to personalize applications, improve application performance or scale your AI-enabled ecosystem. Differentiate yourself from your competitors and build new business models for your products with the Ambient Training Vault.
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