Achronix eFPGA Technology Offers AI Flexibility, Today and Tomorrow

October 19, 2018
With Moore’s law coming to an end and the growing volume of data that will require to be processed to drive the next wave of AI applications, CPUs are no longer able to keep up with the compute requirements. As neural networks evolve and get more efficient along with changes to datasets, workloads and algorithms, the on-chip hardware accelerators needs to be programmable and flexible. Embedding a programmable FPGA fabric inside the SoC with Speedcore eFPGA is an ideal solution for next-generation AI applications.
Previous Video
So, How Secure are your Coding Practices? Ask AdaCore
So, How Secure are your Coding Practices? Ask AdaCore

Developing secure code is no longer optional, but that doesn't mean it's easy. Some software engineers use ...

Next Article
Neural Network Optimization with Sparse Computing and Facebook Glow

There are 27 different types of neural networks. The number of neural network types has increased as engine...