BPU - Brain Processing Unit
J5 Bayes BPU is Purpose-built for Autonomous Driving
(*) Tensor unit: Conv operations
Data reshape unit: Padding, reorder, Concat …
Domain specific unit: Pool, resize, warp …
Vector unit: Elem wise calc. on vector and matrices (row-by-row, column-column or tile-by-tile)
Highly parallel automotive processing with multiple concurrent compute units
Powerful systolic array of tensor core for efficient CNN operations
Flexible, large scale near-compute-memory for local execution
High-flexibility high-bandwidth custom concurrent data bridge
Data parallelism. Kernel parallelism. Computation unit parallelism
Instruction parallelism. Layer parallelism. Model parallelism
Solutions Served
Journey automotive processors and Matrix solutions are scalable from ADAS to Robotaxi applications as well as in-cabin systems and Matrix solutions
