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Roundup How about we kickstart the week with artificial intelligence goodies?
PyTorch 1.0 is (almost) out: Details about PyTorch 1.0, the latest version of the popular AI framework developed by Facebook, were teased out at the inaugural PyTorch Developer Conference this week in San Francisco.
PyTorch - Updates - AI - Models - Python
PyTorch 1.0 comes with new updates that make it faster to train AI models across Python and C++, easier to deploy systems with better support from Caffe 2 and offers integration with different cloud platforms and hardware.
For example, Amazon Sagemaker and AWS Deep Learning Amazon Machine Images, both platforms that make it easier for developers to build and deploy models on Amazon’s Cloud, now comes with PyTorch built-in.
PyTorch - Environment - Amazon - SageMaker - Developers
“With the pre-configured PyTorch environment within Amazon SageMaker, developers and data scientists can specify their scripts using a single API call to train locally or to submit a distributed training job,” Amazon said.
"With a second API call, developers can also now deploy PyTorch-trained models to a managed, highly available, online endpoint that can be automatically scaled up or down as demand requires. PyTorch developers can take advantage of Amazon SageMaker features like automatic model tuning, Amazon CloudWatch integration, Amazon VPC support, and more."
Google - Microsoft - Cloud - Platforms - Google
Google and Microsoft are also doing the same for its own cloud platforms. Google is now going one step further and is also working to support the new library on its TPU chips. Other hardware vendors like IBM, ARM, Intel, Nvidia, and Qualcomm also announced software tools to speed up compile and inference runtimes for PyTorch on their chips too.
Fast.ai, a startup offering deep learning courses, has built its own software library designed to work on top of PyTorch 1.0. We wrote about that in more detail here.
Preview - PyTorch
If you want to download the preview of PyTorch 1.0, you can do it here.
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