Facebook is developing new artificial intelligent (AI) systems to help manage the vast amount of information — such as text, images and videos — generated daily so people can better understand the world and communicate more effectively, even as the volume of information increases.
It has worked with NVIDIA on Caffe2, a new AI deep learning framework that allows developers and researchers to create large-scale distributed training scenarios and build machine learning applications for edge devices.
Providing AI-powered services on mobile is a complex data processing task that must happen within the blink of an eye. Increasingly, the processing of lightning-fast AI services requires GPU-accelerated computing, such as that offered by Facebook’s Big Basin servers, as well as highly optimised deep learning software that can leverage the full capability of the accelerated hardware.
NVIDIA and Facebook are delivering AI acceleration by fine-tuning Caffe2 from the ground up to take full advantage of the NVIDIA GPU deep learning platform. Caffe2 uses the latest NVIDIA Deep Learning SDK libraries — cuDNN, cuBLAS and NCCL — to deliver high-performance, multi-GPU accelerated training and inference. As a result, users can focus on developing AI-powered applications, knowing that Caffe2 delivers the best performance on their NVIDIA GPU systems.
Caffe2 is designed to be a fast, scalable and portable deep learning framework. It delivers near-linear scaling of deep learning training with 57 times throughput acceleration on eight networked Facebook Big Basin AI servers with 64 NVIDIA Tesla P100 GPU accelerators. This means developers can train and iterate AI models faster than ever.
As part of the companies’ collaboration, the NVIDIA DGX-1 AI supercomputer will be the first AI system to offer Caffe2 within the optimised software stack for deep learning. Together, DGX-1 and Caffe2 deliver high performance and fast training. Caffe2 for DGX-1 will be available to customers via NVIDIA DGX-1 Container Registry.
Through NVIDIA’s Deep Learning Institute, more than 10,000 developers worldwide have learnt to use frameworks to design, train and deploy neural network-powered machine learning for a variety intelligent applications and services.
Starting at GPU Technology Conference on May 8 to 11, NVIDIA is adding Caffe2 training to the DLI curriculum.
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