AWS CEO Matt Garman at re:Invent 2024 elaborated on the company's strategy to serve up foundational building blocks, Intel's future, model choices, sustainability and why storylines about Trainium competing with Nvidia are misplaced.
Amazon Web Services added capacity sharing and training plans to Amazon SageMaker Hyperpod and added Lumi AI and Poolside models to Amazon Bedrock's selection of third party models. AWS also launched Amazon Bedrock Marketplace.
The next-gen Amazon SageMaker will compete with DataBricks, Microsoft Fabric and Google Cloud's BigQuery.
Here's how AWS filled out the Amazon Q Business narrative at re:Invent.
Amazon Web Services launched Amazon Nova, a series of foundation models available in Bedrock, in a move that aims to provide large language model choice and commoditize the market.
AWS is expanding Amazon Bedrock to enable multi-agent collaboration to address higher complexity tasks. Alexa's overhaul will feature some of this orchestration.
AWS outlined a series of improvements to its S3 service to manage metadata automatically, leverage Apache Iceberg tables and optimize for analytics workloads with Amazon S3 Tables. Also on the data front, AWS moved to reduce latency for its databases.
Amazon Web Services said it will deploy simplified electrical and mechanical designs, liquid cooling, new rack designs and updated control systems to handle AI workloads sustainably.
AWS customers are increasingly focused on using cloud management approaches on-premises, optimizing GPU costs and modernizing mainframe infrastructure.
Hyperscalers are getting chippy as they compete for generative AI workloads.
