Unleash the Full Potential of Journey processors
Supports mainstream frameworks including TensorFlow and PyTorch and MXNet
Supports state-of-the-art operators used in modern neural networks.
Automatic optimizing compiler ensures most efficient utilization of the BPU engine.
Easy to Use
Abundant documentation and design examples to accelerate development.
Powerful Optimizing Compiler And Example Models At Your Fingertip
Workload is broken down at kernel or feature map level to be efficiently processed by the BPU
BPU pipelining is automatically optimized by the compiler
Perform global model computation analysis, followed by vertical and horizontal layer fusion
Pre-trained algorithms to accelerate your development
Minimum effort. Maximum model performance
Typical time to port
Successful customer projects
Journey Processor Toolchain Eases Developer's Task
Provides complete development tools from floating point model to real-time runtime environment optimization
Technologies & Solutions Stack Tailored To
Journey automotive processors and Matrix solutions are scalable from ADAS to Robotaxi applications as well as in-cabin systems and Matrix solutions