Neuromorphic Processor IP

Self-contained neural processor

• Scalable fabric of 1-128 nodes
• Each neural node supports 128MACs
• Configurable 50-130K embedded local SRAM
• DMA for all memory and model operations
• Multi-layer execution without host CPU
• Integrate with ARM, RISC-V with AXI bus interface

Efficient algorithmic mesh

• Convolutional Neural Processor (CNP) and Fully connected Neural Processor (FNP).

Akida efficiently accelerates…

• Image and audio classification
• Object detection
• Scene segmentation
• Gesture and face recognition
• State-of-the-art algorithms in sequence prediction
• Video object detection
• Human action recognition
• Raw-audio classification
• Vital signs prediction

 Notable features:

• Supports 4-,2-, and1-bit weights and activations
• Supports multiple layers simultaneously

 Software development and deployment:

• Akida leverages standard frameworks and  development platforms such as TensorFlow/Keras, and Edge Impulse
• Akida is model-, network-, and OS-agnostic
• BrainChip MetaTF supports model development and optimization for Akida hardware
• Akida model zoo offers a set of pre-built Akida- compatible models, pre-trained weights and training scripts

• Fully synthesizable RTL.
• IP deliverables package with standard EDA tools.
• Complete test bench with simulation results.
• RTL synthesis scripts and timing constraints. Customized IP packaged targeted for your application.
• Run time software C++ library.
• Processor and OS agnostic.