Dual-core RISC-V ASIC
Watchdog mode for ultra-low power
Nullhop mode for high throughput
Adaptiva: co-processor for AI workloads
Watchdog mode: < 1mW. (<100uW in some use-cases)
Nullhop mode: 10 TOPs/W
Supported neural networks
Convolutional neural networks including resNet, VGG, MobileNet
Recurrent neural networks with multiple layers
Sensor data processing
Supports standard audio and video interfaces such as MIPI, I2C, SPI
Direct interface to multiple channels of raw sensor data, ex: audio and accelerometers
Intelligent workload management
Our compiler libraries optimize for energy-efficiency. Developers can use popular AI libraries such as PyTorch or Tensorflow to train neural networks. These networks will be ported to Adaptiva by our compilers, which also handles workload planning to ensure maximum energy-efficiency.
Fast and easy to use software framework
Our compilers make deploying new models on our chips are as easy as it can get.