AI

In our previous post, Transforming the physical world with AI: the next frontier in intelligent automation, we explored how the field of physical AI is redefining a wide range of industries including construction, manufacturing, healthcare, and agriculture. Now, we turn our attention to the complete development lifecycle behind this technology – the process of creating intelligent […]

We are excited to announce the general availability of GPU partitioning with Amazon SageMaker HyperPod, using NVIDIA Multi-Instance GPU (MIG). With this capability you can run multiple tasks concurrently on a single GPU, minimizing wasted compute and memory resources that result from dedicating entire hardware (for example, entire GPUs) to tasks that can under-utilize the resources. By

In this episode of Uncanny Valley, we talk about some of the latest drug trends and all the ways drugs are changing as they continue to be intertwined with tech.

Generative AI has created unprecedented opportunities for Canadian organizations to transform their operations and customer experiences. We are excited to announce that customers in Canada can now access advanced foundation models including Anthropic’s Claude Sonnet 4.5 and Claude Haiku 4.5 on Amazon Bedrock through cross-Region inference (CRIS). This post explores how Canadian organizations can use

There is growing attention on the links between artificial intelligence and increased energy demands. But while the power-hungry data centers being built to support AI could potentially stress electricity grids, increase customer prices and service interruptions, and generally slow the transition to clean energy, the use of artificial intelligence can also help the energy transition.

Amazon SageMaker HyperPod clusters with Amazon Elastic Kubernetes Service (EKS) orchestration now support creating and managing interactive development environments such as JupyterLab and open source Visual Studio Code, streamlining the ML development lifecycle by providing managed environments for familiar tools to data scientists. This feature introduces a new add-on called Amazon SageMaker Spaces for AI developers to create and

Anthropic’s newest foundation model, Claude Opus 4.5, is now available in Amazon Bedrock, a fully managed service that offers a choice of high-performing foundation models from leading AI companies. Opus 4.5 is a meaningful step forward in what AI systems can do and sets a new standard across coding, agents, computer use, and office tasks.

Amazon Bedrock Custom Model Import now supports OpenAI models with open weights, including GPT-OSS variants with 20-billion and 120-billion parameters. GPT-OSS models offer reasoning capabilities and can be used with OpenAI Chat Completions API. By preserving full OpenAI API compatibility, organizations can migrate their existing applications to AWS, gaining enterprise-grade security, scaling, and cost control.

Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to detect weaknesses and propose fixes to the company’s platforms.

The model policy team leads core parts of AI safety research, including how ChatGPT responds to users in crisis.