Key takeaways from AWS re:Invent 2024

At its ongoing annual event re:Invent this year, cloud company AWS, made a series of new announcements. It includes new chips, foundational models, and industry partnerships. Here we list some of the highlights from the event:

Amazon Nova

AWS’ new generation of foundational models introduced at the re:Invent is named Nova. Available through Amazon Bedrock, Nova can perform tasks such as document and video analysis, generating video content, and building AI agents at lower cost and latency. Amazon Nova accepts multimodal input — text and image to generate image or video output at industry-competing prices. AWS claims that Nova’s customisation capabilities give it an edge over other similar models in the industry.

It is available in four versions — text-only model Amazon Nova which delivers the lowest latency responses in the Amazon Nova family of models at a very low cost; low-cost multimodal model Nova Lite for processing image, video, and text inputs to generate text output; multimodal model Nova Pro which can be used for range of tasks;  most capable multimodal model for complex reasoning tasks Nova Premium.

Trainium3

At the AWS re:Invent 2024, the company introduced its next generation of AI chips for customers to build bigger models faster and deliver superior real-time performance. Available in the latter part of 2025, Trainium3 will be the first AWS chip made with 3nm process node. Trainium3-powered UltraServers are expected to be four times better in performance than Trn2 UltraServers, allowing customers to iterate even faster when building models and deliver superior real-time performance when deploying them, the company said in a blog. 

New updates on Amazon Sagemaker 

AWS has announced a couple of updates to its cloud-based machine learning platform Sagemaker. The next generation of the platform introduced at the event, has features such as Sagemaker Unified Studio, Sagemaker Catalog, SageMaker Lakehouse, among others. 

AWS CEO Matt Graman said that the new generation of Sagemaker brings together the capabilities to support fast Structured Query Language (SQL) analytics, petabyte-scale big data processing, data exploration and integration, ML model development and training, and generative AI in one integrated platform.

Updates to Amazon Q Developer and Amazon Q Business

To help individual developers, AWS has now automated the process of producing and updating documentation, making it easy to maintain accurate, detailed information on their projects. Additionally,  Amazon Q Developer now automates code reviews, quickly providing feedback for developers to maintain code quality based on engineering best practices. 

Apart from Amazon Q Developer, AWS also announced new capabilities for Amazon Q Business. The new capabilities offer cross-application generative AI experiences, introduce over 50 actions for popular business applications, and simplify the automation of complex workflows.

AWS-Genpact partnership

In separate but related news, on Wednesday, Genpact announced a multi-year Strategic Collaboration Agreement (SCA) with AWS with plans to accelerate the adoption of AI. 

“Our collaboration with AWS is focused on bringing AI innovations directly to the forefront of decision-making across every line of business,” said Murat Aksu, Global Leader for Partnerships, Genpact. “This Strategic Collaboration Agreement will break down traditional barriers to AI adoption, making it accessible to business leaders beyond the CIO’s office, and help our clients accelerate value through AI-driven insights and solutions.”