AWS DL Containers are kept current with the latest versions of frameworks and drivers, are tested for compatibility and security, and are offered at no additional cost. They are also customizable by following our recipe guides. Using AWS DL Containers as a building block for ML environments reduces the burden on operations and infrastructure teams, lowers the operating cost, accelerates the development of ML products, and enables the ML teams to focus on the value added work of deriving ML-powered insights from the organization’s data. DL Containers are kept current with the latest versions of frameworks and drivers, are tested for compatibility and security, and are offered at no additional cost. They are also customizable by following our recipe guides. Using DL Containers as a building block for ML environments reduces the burden on operations and infrastructure teams, lowers the operating cost, accelerates the development of ML products, and enables the ML teams to focus on the value added work of deriving ML-powered insights from the organization’s data.