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Amazon Web Services, Inc. (AWS) has announced the AWS Generative AI Innovation Center, a new program to help customers successfully build and deploy generative artificial intelligence (AI) solutions.

AWS is investing USD $100 million in the program, which will connect AWS AI and machine learning (ML) experts with customers around the globe to help them envision, design, and launch new generative AI products, services and processes. This builds on more than 25 years of deep investment in developing AI technologies for customers and is just one part of AWS’s overall generative AI strategy to bring this technology to customers and partners around the world.

Transforming the Business with Generative AI

Companies of all kinds are excited about the potential of generative AI to transform their offerings and operations. The AWS Generative AI Innovation Center can help them make their ideas a reality faster and more effectively. (To get started with the Generative AI Innovation Center, visit https://aws.amazon.com/generative-ai/.)

“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.

He added: “The Generative AI Innovation Center is part of our goal to help every organisation leverage AI by providing flexible and cost-effective generative AI services for the enterprise, alongside our team of generative AI experts to take advantage of all this new technology has to offer. Together with our global community of partners, we’re working with business leaders across every industry to help them maximise the impact of generative AI in their organisations, creating value for their customers, employees, and bottom line.”

Working with a Team to Leverage Generative AI

The AWS Generative AI Innovation Center team of strategists, data scientists, engineers and solutions architects will work step-by-step with customers to build bespoke solutions that harness the power of generative AI. For example, healthcare and life sciences companies can pursue ways to accelerate drug research and discovery. Manufacturers can build solutions to reinvent industrial design and processes. And financial services companies can develop ways to provide customers with more personalised information and advice.

Through no-cost workshops, engagements and training, AWS will help customers imagine and scope the use cases that will create the greatest value for their businesses, based on best practices and industry expertise. Customers will work closely with generative AI experts from AWS and the AWS Partner Network to select the right models, define paths to navigate technical or business challenges, develop proofs of concepts, and make plans for launching solutions at scale.

Best Practices on Generative AI Use

The Generative AI Innovation Center team will provide guidance on best practices for applying generative AI responsibly and optimising ML operations to reduce costs. Engagements will deliver strategy, tools, and assistance that will help customers use AWS generative AI services, including Amazon CodeWhisperer, an AI-powered coding companion, and Amazon Bedrock, a fully managed service that makes foundational models (FMs) from AI21 Labs, Anthropic and Stability AI, along with Amazon’s own family of FMs, Amazon Titan, accessible via an API. 

They can also train and run their models using high-performance infrastructure, including 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, train, and deploy 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.

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