AWS re:Invent, which has been happening from November 27 and runs to December 1, has had its typical plethora of bulletins: a complete of 21 at time of print.
Maybe not surprisingly, given the large potential affect of generative AI – ChatGPT formally turns one 12 months previous as we speak – loads of focus has been on the AI aspect for AWS’ bulletins, together with a main partnership inked with NVIDIA throughout infrastructure, software program, and providers.
But there was a lot extra introduced on the Las Vegas jamboree moreover. Right here, CloudTech rounds up the perfect of the remainder:
Subsequent-generation chips
This was the opposite main AI-focused announcement at re:Invent: the launch of two new chips, AWS Graviton4 and AWS Trainium2, for coaching and operating AI and machine studying (ML) fashions, amongst different buyer workloads. Graviton4 shapes up towards its predecessor with 30% higher compute efficiency, 50% extra cores and 75% extra reminiscence bandwidth, whereas Trainium2 delivers as much as 4 instances sooner coaching than earlier than and can have the ability to be deployed in EC2 UltraClusters of as much as 100,000 chips.
The EC2 UltraClusters are designed to ‘ship the best efficiency, most vitality environment friendly AI mannequin coaching infrastructure within the cloud’, as AWS places it. With it, clients will have the ability to practice giant language fashions in ‘a fraction of the time’, in addition to double vitality effectivity.
As ever, AWS gives clients who’re already utilising these instruments. Databricks, Epic and SAP are among the many firms cited as utilizing the brand new AWS-designed chips.
Zero-ETL integrations
AWS introduced new Amazon Aurora PostgreSQL, Amazon DynamoDB, and Amazon Relational Database Companies (Amazon RDS) for MySQL integrations with Amazon Redshift, AWS’ cloud information warehouse. The zero-ETL integrations – eliminating the necessity to construct ETL (extract, remodel, load) information pipelines – make it simpler to attach and analyse transactional information throughout varied relational and non-relational databases in Amazon Redshift.
A easy instance of how zero-ETL features could be seen is in a hypothetical firm which shops transactional information – time of transaction, gadgets purchased, the place the transaction occurred – in a relational database, however use one other analytics instrument to analyse information in a non-relational database. To attach all of it up, firms would beforehand should assemble ETL information pipelines that are a money and time sink.
The newest integrations “construct on AWS’s zero-ETL basis… so clients can shortly and simply join all of their information, regardless of the place it lives,” the corporate stated.
Amazon S3 Specific One Zone
AWS introduced the final availability of Amazon S3 Specific One Zone, a brand new storage class purpose-built for patrons’ most frequently-accessed information. Knowledge entry pace is as much as 10 instances sooner and request prices as much as 50% decrease than commonplace S3. Firms also can choose to collocate their Amazon S3 Specific One Zone information in the identical availability zone as their compute assets.
Firms and companions who’re utilizing Amazon S3 Specific One Zone embrace ChaosSearch, Cloudera, and Pinterest.
Amazon Q
A brand new product, and an attention-grabbing pivot, once more with generative AI at its core. Amazon Q was introduced as a ‘new kind of generative AI-powered assistant’ which could be tailor-made to a buyer’s enterprise. “Clients can get quick, related solutions to urgent questions, generate content material, and take actions – all knowledgeable by a buyer’s data repositories, code, and enterprise techniques,” AWS added. The service can also help firms constructing on AWS, in addition to firms utilizing AWS functions for enterprise intelligence, contact centres, and provide chain administration.
Clients cited as early adopters embrace Accenture, BMW and Wunderkind.
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