FPGA's has good handling capabilities for parallel and math intensive applications since they are flexible and configurable in design so the are the key enablers to the AI & ML applications (accelerators ) also they are very centric in AI on the edge applications so they will become a must in near future
This video speaks only for spesific GoatSomething products fpga•s? Can any xilinx chip owner use thoose IP's or irs only based on some 2500$ dollar boards as with Zynq ?
I've been always fascinated with FPGA's. Now I'm wondering, what role they could play in machine learning? Deep learning to be more specific.
FPGA's has good handling capabilities for parallel and math intensive applications since they are flexible and configurable in design so the are the key enablers to the AI & ML applications (accelerators ) also they are very centric in AI on the edge applications so they will become a must in near future
Same as other viewers: Which models are supported? What are the prices (orders of magnitude)?
This video speaks only for spesific GoatSomething products fpga•s? Can any xilinx chip owner use thoose IP's or irs only based on some 2500$ dollar boards as with Zynq ?
interesting
Hope it could combined with our hi-speed storage & ethernet to add some features. want to see more please visit our channel.