Oct. 20 at 10:18 PM
$GSIT is trying to solve the memory bottle neck AI/gpu are facing , by putting the compute logic inside the memory array itself , gsit has gained a lot of attention .
$QUIK is tackling the Edge-AI bottleneck , the fact that GPUs and CPUs are too big, hot, and power-hungry for drones, satellites, and other edge devices that need to run AI locally. Their solution is embedded FPGA (eFPGA) tech built on
$INTC 18A process, which gives these small systems flexible, reprogrammable hardware that can update AI logic in real time without changing the chip. In other words, while
$GSIT fixes the memory bottleneck inside data-center AI,
$QUIK fixes the hardware bottleneck at the edge — making local, secure, low-power AI possible for defense, aerospace, and industrial systems.
of course i didnt wrote the last paragraph .
another no brainer
