Amazon Web Services launched Graviton4, its custom chip for multiple workloads, with big improvements over last year's Graviton3. AWS also launched the latest versions of its Trainium and Inferentia processors, two GPUs that may be able to bring the price of model training down.
Amazon Web Services launched Amazon One Enterprise, a palm-based identity service that aims to make palm-reading a mainstream way to enter buildings, improve security and verify credentials.
Amazon Web Services rolled out Braket Direct, a service that allows researchers to procure dedicated private access to quantum processing units and expertise from providers such as IonQ, Oxford Quantum Circuits, QuEra, Rigetti, or Amazon Quantum Solutions Lab.
Salesforce will support Amazon Bedrock, AWS' managed service for foundational models with one API. Amazon Bedrock will also be available through Salesforce's Einstein Trust Layer.
While generative AI dominated the talking points among the big three cloud hyperscalers--Microsoft Azure, AWS and Google Cloud--there was a term that remained a close second: Optimization.
IBM will make its watsonx.data available on Amazon Web Services on AWS Marketplace. IBM Consulting will expand its AWS partnership to train 10,000 consultants on AWS generative AI services, use cases and best practices.
Amazon Web Services (AWS) $4 billion investment in Anthropic may be all about the chips--AWS Trainium and Inferentia--for training models.
Amazon Web Services sales in the second quarter were up 12% from a year ago to $22.1 billion with operating income of $5.4 billion.
Generative AI is a boardroom issue and Microsoft and Google Cloud appear to have the better CXO narrative relative to AWS.
AWS outlined a bevy of generative AI enhancements to various services.
Amazon Web Services (AWS), Microsoft Azure and Google Cloud appear to be hitting similar themes as they continue to battle for workloads, artificial intelligence supremacy and enduring customer relationships.
