Home Technology Facebook Introduces PyTorch 1.0 with Integrations for Azure, AWS and Google

Facebook Introduces PyTorch 1.0 with Integrations for Azure, AWS and Google

Recently, Facebook unveiled its deep learning framework PyTorch 1.0 in the developer preview. The framework is composed of a series of integrations and tools for making it increasingly compatible with popular services such as Microsoft’s Azure Machine Learning, Amazon Web Services, and Google Cloud.

Companies like Intel, Qualcomm, Nvidia, and Arm are also incorporating PyTorch support for various benefits such as tools for tracking inference runtime and kernel library integrations.

The deep learning framework was first introduced to the public in January 2017 and to date, it has been downloaded over a million times. On the other hand, Facebook first announced PyTorch 1.0 back in May 2018 at the F8 developer conference. It comprises deeper integration with Facebook’s ONNX and Caffe2.

In May, Facebook CTO Mike Schroepfer and VP Bill Jia promised PyTorch 1.0 would come with pre-trained tools, libraries, and models to provide developers with additional options and flexibility.

To satisfy such needs, Google Cloud is expected to launch PsyTorch support for some of its services. Also, Facebook revealed recently in a blog post that, it is working with Google to create tensor processing units, specifically for PyTorch users.

What’s more, Amazon’s SageMaker is anticipated to give PyTorch users pre-configured environments for various things including automated model tuning.

Microsoft, which first collaborated with Facebook a year ago on the creation of the ONNX open-source framework to develop AI models made with distinct frameworks to be increasingly portable, is expected to launch some new resources for developers utilizing PyTorch.

“Azure Machine Learning service now allows developers to seamlessly move from training PyTorch models on a local machine to scaling out on the Azure cloud. For data science experimentation, Microsoft is offering preconfigured Data Science Virtual Machines (DSVM) that are preinstalled with PyTorch.

For developers looking to start exploring PyTorch without having to install software and set up a local machine, Azure Notebooks provides a free, cloud-hosted Jupyter Notebooks solution set up with PyTorch tutorials,” Joe Spisak, Facebook ’s product manager, said recently in the blog post.

Udacity is expected to unveil free online courses aimed at showing how to utilize PyTorch. Furthermore, Fast.ai, an applied AI enterprise company, recently introduced Fast.ai 1.0, which is an open-source deep-learning library that has been developed on top of PyTorch.

PyTorch 1.0 version will be available in developer preview, primarily as part of the first-ever PyTorch developer conference to be held in San Francisco.

Source VentureBeat


Subscribe to our newsletter

Signup today for free and be the first to get notified on the latest news and insights on artificial intelligence

KC Cheung
KC Cheung has over 18 years experience in the technology industry including media, payments, and software and has a keen interest in artificial intelligence, machine learning, deep learning, neural networks and its applications in business. Over the years he has worked with some of the leading technology companies, building and growing dynamic teams in a fast moving international environment.
- Advertisment -


AI Model Development isn’t the End; it’s the Beginning

AI model development isn’t the end; it’s the beginning. Like children, successful models need continuous nurturing and monitoring throughout their lifecycle. Parenting is exhilarating and, if...