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Databricks has entered a strategic collaboration with Amazon Web Services (AWS) to enhance the development of custom AI models using Databricks Mosaic AI. This partnership will utilize AWS Trainium chips to optimize the training and serving of large language models (LLMs) on AWS infrastructure. The collaboration aims to provide joint customers with the ability to pretrain, fine-tune, and serve AI models while ensuring data security and performance.
The expanded partnership will also introduce new integrations on the AWS Marketplace, allowing for greater accessibility to Databricks' capabilities. Databricks' CEO emphasized the importance of data as a competitive advantage in the generative AI landscape, while AWS's CEO highlighted the cost-effectiveness of using AWS Trainium for AI applications. Together, these companies are set to empower thousands of customers to create and deploy customized AI solutions efficiently.
• Databricks and AWS collaborate to enhance generative AI model development.
• AWS Trainium chips will power Databricks' Mosaic AI model training.
Generative AI refers to algorithms that can generate new content, such as text or images, based on training data.
LLMs are AI models designed to understand and generate human-like text based on vast datasets.
Model Serving involves deploying machine learning models to make predictions on new data in real-time.
Databricks specializes in data and AI solutions, particularly through its Mosaic AI platform for model training.
AWS provides cloud computing services, including infrastructure for AI model training and deployment.
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