With the generative artificial intelligence dancefloor heating up, several companies are allying to find novel innovation areas and serve an expanding set of customer use cases. A strong example of this is DataStax Inc.’s deepened collaboration with Amazon Web Services Inc., evidenced by its integration with Amazon Bedrock.

“Our partnership is evolving now to this next level of generative AI,” said Harry Ault (pictured, left), executive vice president of corporate development and partnerships at DataStax. “We’ve been on this journey as DataStax for the last four years. We’ve been very focused on developer-centric experience with our cloud product on AWS, and we have a purpose-built platform that’s already running predictive AI.”

Ault and Mona Chadha (right), director of category management at AWS, spoke with theCUBE industry analyst Rebecca Knight at the “Supercloud 5: The Battle for AI Supremacy” event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how the DataStax/AWS pairing promises to shape the future of AI applications, making them more accessible, developer-friendly and transformative for end customers. (* Disclosure below.)

More on the partnership

AWS has maintained a consistently strong stance in its acceptance of the gen AI reality — with prominent examples such as Amazon Go, Alexa and the Amazon website itself, according to Chadha.

“Our strategy, the AWS strategy for generative AI, has been rooted in ensuring that we innovate rapidly to deliver a comprehensive set of services and programs that really help customers accelerate their innovation with generative AI — and doing it in a cost-effective and secure way,” she noted.

The company takes a three-tiered approach to gen AI. The first layer involves running foundational models efficiently, leveraging services such as AWS Training and AWS Inferentia chipsets. The second layer introduces Amazon Bedrock, a fully managed AI service integrated with third-party models, offering a seamless experience for embedding models into generative AI applications.

DataStax has embedded itself in that second layer to facilitate developer empowerment and simplicity in operations, highlighting a move away from enterprise migration to new app generation with an emphasis on product-led integrations and a cloud-native experience, according to Ault.

“What we are seeing is a fundamental shift in our partnership that is less enterprise migration-oriented and much more new app generation-oriented, catering to that developer community,” he explained. “And so that means a lot of heavy lift behind the scenes that our engineering teams have worked on around radically simplifying adoption through APIs.”

These application programming interfaces, along with application starter kits and other community-focused engagement efforts, have significantly catalyzed gen AI adoption across disparate markets, Ault pointed out.

“Having APIs that are in the language that they prefer, having rich sample frameworks and application starter kits as a part of the experience — developers want to work in a product-led cloud native type approach,” he noted. “And so with AWS, we’re providing that with Astra DB on AWS and the integration of the [strategic collaboration agreement] level with Bedrock and SageMaker.”

The third layer in the aforementioned tiered approach emphasizes development tools, with Amazon CodeWhisperer standing out as a key companion for code creation in generative AI applications.

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the “Supercloud 5: The Battle for AI Supremacy” event:

(* Disclosure: DataStax Inc. sponsored this segment of theCUBE. Neither DataStax nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE