Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize
From its F8 developer conference in San Jose, Calif., this week, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Caffe2’s GitHub page describes it as “an experimental refactoring of Caffe [that] allows a more flexible way to organize computation.”
The first production-ready release of Caffe2 is, according to Facebook, “a lightweight and modular deep learning framework emphasizing portability while maintaining scalability and performance.” The social media giant says it worked closely with NVIDIA, Qualcomm, Intel, Amazon, and Microsoft to optimize Caffe2 for cloud and mobile environments.
Caffe2 will ship with tutorials and examples that demonstrate how developers can scale their deep learning models across multiple GPUs on a single machine or across many machines with one or more GPUs. The framework adds deep learning smarts to mobile and low-power devices by enabling the programming of iPhones, Android systems and Raspberry Pi boards.
To read the rest of the article, see www.hpcwire.com/2017/04/18/facebook-open-sources-caffe2-nvidia-intel-jumpstart-optimizations