AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...

Whether or not to automatically propagate all pipeline environment variables into the run container. Avoiding the need to be specified with environment. Whether or not to automatically propagate aws ...

Users can pick their preferred AI models, whether they are running open-source options locally or connecting to services from OpenAI, Azure, AWS, or other providers ... For teams needing more robust ...

A monthly overview of things you need to know as an architect or aspiring architect.

The container orchestration platforms powering today's AI services handle increasingly sensitive intellectual property and ...

Supports frameworks like TensorFlow and PyTorch with pre-configured tools such as NVIDIA CUDA and Docker. Ideal for healthcare ... and high-performance GPU solutions. This includes Amazon EC2 ...

For years, when you said “containers”, you meant Docker. It was the go-to solution for developers who wanted to package, ship, and run applications—basically anything DevOps—consistently ... This ...

Amazon has hitched its artificial intelligence wagon to Anthropic, investing $8 billion in the startup and heavily promoting its AI to customers of the Amazon Web Services cloud unit. But AWS has ...