and Telecommunications Enhanced by Menta's eFPGA Technology
Designed to offer unparalleled flexibility and processing performance, eFPGA enables edge devices to adapt and evolve according to application requirements. By integrating FPGA capabilities directly into silicon designs, eFPGA technology enables edge devices to swiftly execute complex algorithms, accelerate machine learning tasks, and efficiently process massive datasets with minimal latency.
FPGAs have demonstrated their superior energy efficiency over CPUs and GPUs for AI learning in data centers and are already being used by multiple players. eFPGA IPs from Menta take this one step further by introducing AI learning accelerators within the CPU chip. This allows users to obtain the best performance, area and power consumption by integrating complex arithmetic blocks, such as high precision, floating-point DSPs, while also benefitting from the smallest possible latency and highest possible throughput.
Design adaptive eFPGA IP
100% standard cells architecture
Foundry and process-node-independent
HLS programming with third-party tools
Strong simulation and verification flow
Integration of any kind of arithmetic block
State-of-the-art eFPGA EDA programming tool
Adaptive DSPs blocks
Integration of any third-party memory