AWS has announced that Stability AI, a community-driven, open-source artificial intelligence (AI) company, has selected AWS as its preferred cloud provider to build and scale its AI models for image, language, audio, video, and 3D content generation. Stability AI uses Amazon SageMaker (AWS's end-to-end machine learning service), as well as AWS's proven compute infrastructure and storage, to accelerate its work on open-source generative AI models. In addition, Stability AI will collaborate with AWS to make its open-source tools and models available to students, researchers, startups, and enterprises around the world. Stability AI offers generative AI models that create text, images, audio, video, code, and more from simple text instructions. Generative AI or foundational models--models that are adaptable to a variety of tasks in domains such as language, image, audio, and video--require a high-performance compute cluster with thousands of GPUs or AWS Trainium chips, advanced expertise, and months of training.

We're thrilled to announce that Stability AI has selected AWS as its preferred cloud provider to power its state-of-the-art AI models for image, language, audio, video, and 3D content generation. Stability AI is a community-driven, open-source artificial intelligence (AI) company developing breakthrough technologies. With Amazon SageMaker, Stability AI will build AI models on compute clusters with thousands of GPU or AWS Trainium chips, reducing training time and cost by 58%. Stability AI will also collaborate with AWS to enable students, researchers, startups, and enterprises around the world to use its open-source tools and models. "Our mission at Stability AI is to build the foundation to activate humanity's potential through AI. AWS has been an integral partner in scaling our open-source foundation models across modalities, and we are delighted to bring these to SageMaker to enable tens of thousands of developers and millions of users to take advantage of them. We look forward to seeing the amazing things built on these models and helping our customers customize and scale their models and solutions."

Cerner Corporation (NASDAQ: CERN), a global health platform and technology company, today announced a multi-faceted, strategic collaboration with Amazon Web Services, Inc. (AWS), an Amazon.com As part of this agreement, Cerner is naming AWS its preferred cloud provider. This expanded relationship is expected to power enhanced clinical experiences, increase efficiencies by lowering operational burdens for health care organizations and accelerate Artificial Intelligence (AI), Machine Learning (ML) and other cutting-edge innovations thereby advancing better patient health outcomes. "Our work with Amazon and AWS is a key component for the next chapter at Cerner," said Brent Shafer, chairman and CEO, Cerner. "As we work to transform Cerner, we are joining forces with Amazon and AWS to help fuel our strategy of making Cerner more agile in order to deliver faster, more scalable and secure solutions to clients and patients. We expect this collaboration with Amazon and AWS will enable a new wave of innovation that can lead and transform the future of health care."

One of the biggest news items in the digital workplace this week was the announcement of IBM and Salesforce's deepening partnership, with new integrations between IBM Cloud, Watson Services, Salesforce Quip and Service Cloud Einstein. The two companies announced their initial partnership last March. It envisaged a combination of Armonk, New York-based IBM Watson's capabilities with San Francisco-based Salesforce's CRM data to allow businesses to glean insights across structured and unstructured data. As part of this announcement, Salesforce named IBM a preferred cloud services provider, making IBM the third major provider to be named "preferred." The company first named AWS its preferred cloud provider in May 2016.