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Just like databases we’ll support a wide range of engines on AWS; some of our own like Gluon, along side others from the community like PyTorch and TensorFlow. They’re all first class citizens.
We even fund separable (competing!) teams internally to focus on making sure AWS is the best place to run each of these popular engines.
We provide a machine image with TF, MXNet and others pre-installed, along with Keras, CPU and NVIDIA divers, and other libraries for deep learning. We just added Ubuntu support too:
https://aws.amazon.com/blogs/ai/the-aws-deep-learning-ami-no...
Running MXNet on AWS Lambda
Third Generation Interfaces and Amazon Lex
Say Hello to Amazon AI
Scale-Out Deep Learning
Serverless Map/Reduce: Lambda and the Infinite Core CPU
One-Click Deep Learning: CUDA, MXNet, TF, Theano, Torch Pre-Configured on EC2
Machine Learning with Lambda: Scaling Hyperparameter Optimization
The Four Horsemen (of container-based applications)
Customer focused, technically deep candidates across: Solutions Architects, QA and Test, User Experience, Software Development Engineers (and managers), Technical Product and Program Managers [ONSITE]