GRAIN

Overview

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The GRAIN architecture consists of a neuromorphic processing engine (Brainchip AkidaTM 1.0), a single-core RISC-V RV64GC processor (NOEL-V) for system management, and several digital interfaces.

GRAIN is a reliable computing platform for AI applications such as image recognition, autonomous navigation, and data analysis. The neuromorphic engine provides fast and energy-efficient inference, enabling fast on-board decisions.

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Architecture

Key Tech Spec

Target technology support

Evaluation boards

Ordering information

Development Kit

Licensing

Software

Tools

Block diagram

Supported Hardware

Configuration

Reference Design

Other resources

Detailed features

NOEL-V RISC-V Processor

General-purpose RISC-V processor (RV64GC)
High-performance processing for traditional computing tasks
System management and configuration of the neuromorphic engine

Akida^TMneuromorphic processing accelerator

‍‍Akida provides acceleration of AI models using event-based computing to minimize power consumption.
Eight neural processing nodes connected in a mesh network
Each node consisting of four convolutional or fully connected engines
Each node supports 128 4x4 MACs, for total of 1024 MACs/clock
Hardware support for 1, 2, or 4-bit hybrid quantized weights
Multi-Pass Processing enables execution of large neural networks

Interfaces

‍‍‍‍PCIe Gen 3 x4 port with capability to act both as a root port and as an endpoint
10/100/1000Mbit Ethernet interface
200Mbit/s SpaceWire port
SPI,I2C and UART low speed interfaces.

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