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AWS at Databricks Data + AI Summit 2025

databricks

AWS’ Legendary Presence at DAIS: Customer Speakers, Featured Breakouts, and Live Demos! Amazon Web Services (AWS) returns as a Legend Sponsor at Data + AI Summit 2025 , the premier global event for data, analytics, and AI. AWS is also a proud sponsor of key Industry Forums – see full list below.

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AWS takes on Nvidia and Amazon shares are loving it

Dataconomy

Amazon Web Services (AWS) announced the launch of a new AI supercomputer, Project Rainier, constructed from its proprietary Trainium chips, aiming to rival Nvidia’s dominance in the AI chip market. This supercomputer, which will be finalized by 2025, is poised to be one of the largest ever used for training AI models.

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AWS introduced Amazon Nova, a next-generation foundation model family

Dataconomy

Amazon Nova Micro, Nova Lite, and Nova Pro are already available for general use, while Nova Premier will launch in Q1 2025. Amazon plans to expand this to over 2 million tokens in early 2025. This model, set for mid-2025, will simplify applications requiring content translation, editing, and multimodal understanding.

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Fine-tuning large language models (LLMs) for 2025

Dataconomy

Additionally, cloud services such as Google Colab or AWS can provide GPU access if you lack the necessary hardware. Recommended tools, libraries, and frameworks for fine-tuning Tools like PyTorch, Hugging Face Transformers, and Axolotl provide the core framework for fine-tuning LLMs.

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Secure a generative AI assistant with OWASP Top 10 mitigation

Flipboard

Use the AWS generative AI scoping framework to understand the specific mix of the shared responsibility for the security controls applicable to your application. The following figure of the AWS Generative AI Security Scoping Matrix summarizes the types of models for each scope.

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AWS machine learning supports Scuderia Ferrari HP pit stop analysis

AWS Machine Learning Blog

In this post, we share how Amazon Web Services (AWS) is helping Scuderia Ferrari HP develop more accurate pit stop analysis techniques using machine learning (ML). Since implementing the solution with AWS, track operations engineers can synchronize the data up to 80% faster than manual methods.

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AWS re:Invent 2024 Highlights: Top takeaways from Swami Sivasubramanian to help customers manage generative AI at scale

AWS Machine Learning Blog

We spoke with Dr. Swami Sivasubramanian, Vice President of Data and AI, shortly after AWS re:Invent 2024 to hear his impressionsand to get insights on how the latest AWS innovations help meet the real-world needs of customers as they build and scale transformative generative AI applications. Canva uses AWS to power 1.2

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