Le premier episode 'Quoi de neuf ?' de cette année revient sur les prédictions technologiques pour 2025 et au delà de Werner Vogels, CTO d'Amazon. Nous parlons aussi des nouveautés des dernières semaines: Amazon bedorck et Sagemake acceuillent Les nouveaux modèles de Meta (Llama 3.3) et de Stability.ai (Stable Diffusion 3.5). On parle aussi d'un nouveau connecteur open source pour Apache Flink et Amazon Kinesis Data Stream, de Amazon Workspaces qui est désormais accessible via AWS Global Accelerator. Enfin nous abordons des nouvelles fonctions de Resources Explorer et dans la console de gestion des factures et des coûts (AWS Billing and Costs Management).
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Voici les liens vers les pages des services dont nous avons parlé dans l’épisode.
If you’re looking to catch up on re:Invent announcements or delve deeper into the latest AWS innovations, you have several options available:
Since our last podcast episode on December 27th, here are some highlights of recent launches:
Meta’s Llama 3.3 70B represents a significant advancement in model efficiency and performance optimization.
It is a text-only instruction-tuned model that outperforms Llama 3.1 70B and Llama 3.2 90B for text-only applications.
You can now use this model in both Amazon SageMaker JumpStart and Amazon Bedrock.
The Stable Diffusion 3.5 Large model by Stability AI features 8.1 billion parameters trained on Amazon SageMaker HyperPod.
This powerful model is now available in Amazon Bedrock for generating high-quality images from text descriptions.
The Apache Flink community has released version 5.0.0 of AWS services connectors.
This release introduces the Kinesis Streams Source, a new connector for reading data from Amazon Kinesis Data Streams, replacing the previous Kinesis Consumer.
Amazon WorkSpaces Personal now integrates with AWS Global Accelerator (AGA) to optimize streaming traffic through the AWS Global Network.
This improves connection performance, particularly for users connecting across long distances.
The enhanced AWS Resource Explorer experience centralizes relevant data and insights from multiple AWS services.
New features allow you to manage tags, add resources to applications, and access detailed resource information directly from the console.
The Custom Billing View is now generally available.
It allows application and business unit owners to access filtered cost management data across AWS accounts via AWS Cost Explorer, without requiring access to the AWS management account.
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