Business News Report SMW
June 23, 2023

Amazon Web Services to Invest $100M in Generative AI Innovation Center

In Brief

Amazon Web Services is investing $100 million in its Generative AI Innovation Center.

The initiative aims to help customers build and deploy generative AI services.

The AWS Generative AI Innovation Center will connect AWS AI and machine learning (ML) experts with customers to help them design and launch new generative AI products.

Amazon Web Services (AWS) has announced that it will be launching the AWS Generative AI Innovation Center to help customers build and deploy generative AI services. 

Amazon Web Services to Invest $100M in Generative AI Innovation Center

AWS is investing $100 million in the new program, which will connect AWS AI and machine learning (ML) team of strategists, data scientists, engineers, and solutions architects with the cloud service’s customers to help them design, and launch new generative AI products.

“Amazon has more than 25 years of AI experience, and more than 100,000 customers have used AWS AI and ML services to address some of their biggest opportunities and challenges. Now, customers around the globe are hungry for guidance about how to get started quickly and securely with generative AI,” said Matt Garman, senior vice president of Sales, Marketing, and Global Services at AWS, in a statement.

Garman added that the new initiative is part of AWS’ goal to help organizations leverage AI to create value for their customers. For instance, healthcare and life sciences companies can use generative AI to accelerate drug research and discovery, while manufacturers can build solutions to reinvent industrial design and processes. Financial services companies can also develop ways to provide customers with more personalized information and advice.

Through free workshops, engagements, and training, AWS will help customers identify the use cases that will create the greatest value for their businesses, based on best practices and industry expertise. 

Customers will collaborate closely with AWS generative AI experts and members of the AWS Partner Network. Together, they will assess and choose the most suitable models, strategize on overcoming technical or business hurdles, create proofs of concept, and formulate comprehensive plans for the successful deployment of solutions on a large scale.

The team at the Generative AI Innovation Center will offer expert advice and support to ensure responsible application of generative AI techniques and enhance the efficiency of machine learning operations to reduce costs. Engagements with customers will encompass strategic guidance, provision of tools, and hands-on assistance in leveraging AWS generative AI services. 

These services include Amazon CodeWhisperer, an AI-powered coding companion, and Amazon Bedrock, a fully managed service that provides access to foundational models (FMs) developed by AI21 Labs, Anthropic, Stability AI, and Amazon’s own family of FMs known as Amazon Titan, all accessible via an API.

Customers also have the option to train and run their own models using high-performance infrastructure which includes AWS Inferentia-powered Amazon EC2 Inf1 Instances, AWS Trainium-powered Amazon EC2 Trn1 Instances, and Amazon EC2 P5 instances powered by NVIDIA H100 Tensor Core GPUs.

Additionally, customers can build and train their own models with Amazon SageMaker or use Amazon SageMaker Jumpstart to deploy some of today’s most popular FMs, including Cohere’s large language models, Technology Innovation Institute’s Falcon 40B, and Hugging Face’s BLOOM.

With the growing interest from organizations in utilizing generative AI for business purposes, AWS joins other tech companies, including Lenovo and Oracle, in launching AI innovation programs to provide enterprise-grade generative AI services. Professional services firms like KPMG, Accenture, PwC, and EY have also done the same.

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About The Author

Cindy is a journalist at Metaverse Post, covering topics related to web3, NFT, metaverse and AI, with a focus on interviews with Web3 industry players. She has spoken to over 30 C-level execs and counting, bringing their valuable insights to readers. Originally from Singapore, Cindy is now based in Tbilisi, Georgia. She holds a Bachelor's degree in Communications & Media Studies from the University of South Australia and has a decade of experience in journalism and writing. Get in touch with her via [email protected] with press pitches, announcements and interview opportunities.

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Cindy Tan
Cindy Tan

Cindy is a journalist at Metaverse Post, covering topics related to web3, NFT, metaverse and AI, with a focus on interviews with Web3 industry players. She has spoken to over 30 C-level execs and counting, bringing their valuable insights to readers. Originally from Singapore, Cindy is now based in Tbilisi, Georgia. She holds a Bachelor's degree in Communications & Media Studies from the University of South Australia and has a decade of experience in journalism and writing. Get in touch with her via [email protected] with press pitches, announcements and interview opportunities.

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