DataStax has announced the launch of the DataStax AI Platform, built with Nvidia AI, which reportedly reduces AI development time by 60 percent. This platform integrates the DataStax AI Platform with Nvidia AI Enterprise software, enabling enterprises to build, deploy, and fine-tune AI applications faster and more accurately, the company said. The platform is designed to streamline the entire AI lifecycle—from data ingestion to application development—allowing companies to create more accurate, self-learning models, according to the companies.
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Scaling AI with Zero Downtime
"The DataStax AI Platform, built with Nvidia AI, provides an end-to-end solution that not only reduces costs but also unlocks unmatched development speed. It makes applications smarter and more accurate as customers use it," said Chet Kapoor, Chairman and CEO of DataStax.
PhysicsWallah, an education platform serving over 20 million students in India, has already leveraged the DataStax AI Platform to manage a 50x surge in traffic with zero downtime, delivering personalised learning at scale.
"The DataStax AI Platform, built with Nvidia AI, provides a real-time solution for PhysicsWallah to offer personalised, high-quality learning and accessibility at scale. This partnership enables the company to manage a 50x traffic surge with zero downtime, serving millions of students," said Sandeep Varma, Head of AI at PhysicsWallah.
Key Features of the DataStax AI Platform
Key components of the DataStax AI Platform include the DataStax Langflow platform, Nvidia AI Enterprise components such as Nvidia NeMo tools for model customisation and evaluation, and real-time AI analytics. This unified solution reportedly addresses the complexities of AI projects, which often fail due to fragmented tools and workflows.
The DataStax Langflow platform includes an application development environment that simplifies the creation and understanding of complex logic flows through an intuitive visual interface.
Using Multimodal PDF Data Extraction, users can ingest unstructured data and complex enterprise sources, such as PDFs, to prepare them for AI applications utilising retrieval-augmented generation (RAG).
Users also gain access to Nvidia's NIM Agent Blueprints, a catalogue of pretrained, customisable AI workflows for building and deploying generative AI applications for use cases such as customer service avatars, retrieval-augmented generation, and virtual drug discovery screening.
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Flexible Cloud and Self-Managed AI Solutions
The DataStax AI Platform helps enterprises build AI models and applications for cloud services, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.
According to the official release, the platform is available for both cloud and self-managed environments, offering flexibility for regulated sectors like finance and healthcare to maintain control over their AI infrastructure.
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Kari Briski, Vice President of AI Software at Nvidia, said: "Enterprises are harnessing AI to drive digital transformation across industries. The DataStax AI Platform, built with Nvidia AI, enables companies to create AI-ready databases and rapidly deploy tailored AI applications, unlocking new levels of customer value."
