Data and AI company, Databricks has announced a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to accelerate the development of custom models built with Databricks Mosaic AI on AWS.
Databricks will leverage AWS Trainium chips as the preferred AI chip to power Mosaic AI model training and serving capabilities on AWS. Joint customers can leverage Mosaic AI to pretrain, fine-tune, augment and serve large language models (LLMs) on their private data, backed by the scale, performance and security of AWS. The expanded partnership will also include new integrations for Databricks on AWS Marketplace.
The collaboration builds on Databricks’ newly expanded Mosaic AI capabilities, which includes Mosaic AI Model Serving. Mosaic AI Model Serving is designed to support a variety of model providers, including models available via Amazon Bedrock. Customers can also scale model training on Mosaic AI using high-performing, cost-effective AWS Trainium chips.
Together, Databricks and AWS will make it possible for thousands of joint customers to build, deploy and monitor high-quality, customised AI applications without sacrificing control over their data or intellectual property.
Databricks co-founder and CEO, Ali Ghodsi said, “Generative AI is disrupting every industry and a company’s data will ultimately be its competitive advantage. Strengthening our collaboration with AWS allows us to provide customers with unmatched scale and price-performance so they can bring their own generative AI applications to market more rapidly.”
AWS CEO, Matt Garman added, “Our collaboration with Databricks unlocks the potential for customers to drive real value from their data using generative AI. By using AWS Trainium to power Mosaic AI, Databricks will make it cost-effective for customers to build and deploy generative AI applications on top of their analytics workflows, regardless of their industry or use case.”
As part of this relationship, Databricks and AWS will continue to invest in product capabilities and programs to support customers, including custom model optimation and enhanced security, migration and modernisation for Gen AI, tailored industry solutions and accelerators, enhanced ease of use, joint Gen AI go-to-market programs and expanding co-marketing initiatives.