AI Key Use Cases: Explore the key use cases of machine learning to improve customer
experience, optimize business operations, and accelerate innovation. No machine learning
experience is required.
Machine Learning Frameworks: AWS customers can choose from TensorFlow, PyTorch,
Apache MXNet, and other popular frameworks to experiment with and customize machine
learning algorithms. They can use the framework of their choice as a managed experience in
Amazon SageMaker or use AWS Deep Learning AMIs (Amazon Machine Images), which are
fully configured with the latest versions of the most popular deep learning frameworks and
tools. AWS customers also benefit from a broad set of powerful compute options, ranging
from GPUs for compute-intensive deep learning to FPGAs for specialized hardware
acceleration to high-memory instances for running inference. Amazon EC2 provides a
wide selection of instance types optimized to fit machine learning use cases—regardless of
whether customers are training models or running inference on trained models.
Implementation Support: The Amazon Machine Learning Solutions Lab pairs your team
with machine learning experts to help you identify and build machine learning solutions to
address your organization's highest return-on-investment machine learning opportunities.
We also offer training to augment the level of machine learning expertise on your team,
including developer training, business leader training, and a hands-on event through the
Machine Learning Embark Program.
Learning Tools: AWS also offers a number of learning tools and services to help
organizations improve their machine learning capabilities, including:
• AWS DeepRacer
• AWS DeepLens
• Machine Learning Training and Certification
• Amazon Machine Learning Solutions Lab
8 As measured in the ResNet-50 benchmarking test, AWS-optimized TensorFlow recorded the fastest training time, by over 50 percent
9 Using AWS-optimized TensorFlow allows for near-linear scaling efficiency, up to 90 percent compared to 65 percent using stock TensorFlow
10 than other providers using P3dn instances
11 using C5 instances powered by 3.0GHz Intel Xeon compared to previous generation instances
Machine learning
with AWS, by the
numbers
AWS machine learning solutions:
Reduce training time by 50%⁸
Provide 90% scaling efficiency⁹
Deliver 3x faster network throughput
10
Improve price and performance by 25%
11
91% of cloud-based PyTorch runs on AWS
92% of cloud-based TensorFlow runs on AWS
• Add intelligence to the contact center
• Personalize customer recommendations
• Automate data extraction and analysis
• Discover accurate information faster
with intelligent search
• Identify fraudulent online activities
• Analyze media content and discover
new insights
• Improve business operations
and forecasting
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