Fact Finder
Top 20
From the MOSCHIP presentation:
[TECHNICAL SESSION - AI / ML APPLICATIONS]
ULTRA-LOW POWER EDGE AI ASICS
SWAMY IRRINKI
VP of Marketing and Business Development
BrainChip’s NNP IP Akida is Uniquely Essential For Ultra-Low Power Edge Devices
• BrainChip’s IP fabric can be placed either in a parallelized manner that would be ideal for ultimate performance, or space-optimized in order to reduce silicon utilization and further reduce power consumption.
• Entire neural networks can be placed into the fabric, removing the need to swap weights in and out of DRAM resulting in a reduction of power consumption while increasing throughput.
• Additionally, users can modify clock frequency to optimize performance and power consumption further
My opinion only DYOR
FF
AKIDA BALLISTA
[TECHNICAL SESSION - AI / ML APPLICATIONS]
ULTRA-LOW POWER EDGE AI ASICS
SWAMY IRRINKI
VP of Marketing and Business Development
BrainChip’s NNP IP Akida is Uniquely Essential For Ultra-Low Power Edge Devices
• BrainChip’s IP fabric can be placed either in a parallelized manner that would be ideal for ultimate performance, or space-optimized in order to reduce silicon utilization and further reduce power consumption.
• Entire neural networks can be placed into the fabric, removing the need to swap weights in and out of DRAM resulting in a reduction of power consumption while increasing throughput.
• Additionally, users can modify clock frequency to optimize performance and power consumption further
My opinion only DYOR
FF
AKIDA BALLISTA