At the 2024 re: Invent global conference, Amazon Web Services (AWS) presented a treasure trove of innovations, offering enterprises worldwide the tools to leap forward in the cloud. Through a series of updates, AWS has provided businesses with more efficient and flexible tools, guiding them into a new world of cloud computing and generative AI.

Generative AI: The Smart "Universal Key" for Enterprises

One of the highlights of the conference was the latest breakthroughs in generative AI technology. AWS introduced six new foundational models under Amazon Nova, each acting as a different-function "universal key" that helps enterprises unlock the door to AI innovation. From Micro to Pro, these models are at least 75% more cost-effective compared to the best models in Amazon Bedrock, akin to getting more innovation for fewer resources. In addition to Amazon Nova, AWS also breathed new life into the Amazon Bedrock platform, adding over 100 new models. These models are like "all-rounders" in the AI world, capable of handling a range of needs from text generation to image analysis. Meanwhile, platform updates have made AI function like a versatile "chef," adept at handling multiple tasks. The addition of features such as AI protection, multi-agent collaboration, and model distillation acts as a powerful "shield" and "intelligence engine" for AI, enabling it to perform even more effectively in various scenarios.

Amazon Q: Bringing AI into Daily Business Operations

Amazon Q takes AI technology deeper into everyday business activities. It not only helps enterprises transform traditional workloads but also opens up a new avenue for commercial applications, acting as a "game-changer" that gives businesses a competitive edge. Meanwhile, Amazon SageMaker has been enhanced with more efficient "training" capabilities, allowing companies to move AI from concept to real-world application with minimal concern for technical details.

Data Strategy: Packaging Data and Moving It to the Cloud

Data is the "heart" of modern enterprises, and how businesses manage and utilise this data directly impacts their competitiveness. In this area, AWS has launched the new generation of Amazon SageMaker, which not only provides a unified platform for data but also helps enterprises analyse and utilise data more efficiently from various perspectives. This platform is like building a flexible "data bridge," allowing all data to easily cross different barriers and connect to the source of innovation. Additionally, updates to Amazon S3 have brought revolutionary changes to data storage for enterprises. The new Tables storage type and metadata features make data management clearer and more efficient. This can be likened to setting up a "catalogue” for business data, making searching, managing, and utilising data more intuitive. The new serverless distributed SQL database, Amazon Aurora DSQL, acts as an experienced "data guide" that ensures the fastest path for enterprises when dealing with complex queries, ensuring smooth data processing.

Cloud Services: Engine Upgrade for "Flight"

The introduction of the EC2 Trn2 instances, powered by Trainium2 chips, represents a major upgrade in computing power. These new instances offer 30%-40% better cost-performance than traditional GPU instances, providing enterprises with a stronger "engine" to accelerate AI training and inference. Meanwhile, the EC2 Trn2 UltraServers, equipped with 64 Trainium2 chips, resemble a high-speed vessel, boasting extraordinary computing power that can handle massive amounts of data with near-zero latency.

These technological advancements are like "keys”, unlocking doors to the future for businesses worldwide. In this technological revolution, Amazon Web Services is undoubtedly the "navigator" leading the way.

（Writer：Juliy）