Arm Ecosystem Catalogue has BrainChip and has said that-
BrainChip's #Akida #ip is fully compatible with Arm product families. System-level pre-integration accelerates
evaluation and #development. BrainChip #hardware acceleration supports real-time multi-sensor #inference, and frees
up the Arm #cpu for improved system-level #performance and unparalleled #efficiency.
Use cases requiring integrated inference from multiple #sensors exploit the benefits of Akida #embedded into the Arm
Cortex-M MCU. For example, the sequence of presence #detection, person or object identification, keyword spotting,
#gesture recognition are seamlessly and accurately executed with minimum #computation and maximum #efficiency. Al
enablement integrating #sensor inputs improves user experience in homes, in cars, and in the real world.
Akida provides cost-effective, high-#performance, power-efficient Al processing for #edge Al devices - even those in
locations where there is limited or no #connectivity.
As part of the Arm Al Partner Program, BrainChip will enable
developers to meet the need for high-performance and #ultralow #power edge Al inference, unlocking new
opportunities for #innovation for best-in-class tools, algorithms, and applications to customers worldwide.
State of the art performance at uW-m W levels
Lowest power and memory footprint
Avoid external memory accesses, reduced bit computation
Quantization to 1b, 2b, 4-bit
On-chip learning & device personalization
Fully scalable architecture
Runs full network with no CPU dependency Supports CNN & native SNN
Mature tools suite
Fully synthesizable RTL
Arm has said-
“Arm’s Cortex coupled with #Akida from the worldwide leader in edge AI on-chip processing BrainChip delivers unparalleled system performance and unparalleled efficiency by radically reduced power consumption”
And I attached a photo of the ARM catalogue outlining this at the bottom.