DataStax rolls out AI platform, built with NVIDIA AI

DataStax has announced an AI platform, built with NVIDIA AI that reduces AI development time by 60%. This platform makes it easier for enterprises to build AI applications that leverage companies’ enterprise data and context. The all-new DataStax AI platform also makes it easier for enterprises to hone their models so they self-learn and get more accurate with customer use.

Sandeep Varma, PhysicsWallah, Head of AI, said, “PhysicsWallah is democratizing education through GenAI-driven learning experiences for over 20 million students in India. The DataStax AI Platform, built with NVIDIA AI provides a real-time solution for PhysicsWallah to offer personalized, high-quality learning and accessibility at scale. This partnership enables the company to manage a 50x surge in traffic with zero downtime, serving millions of students.”

Chet Kapoor, Chairman and CEO, DataStax, said, “As companies strive to leverage AI, we’re laser-focused on simplifying and accelerating the path to production to unlock innovation at scale. The DataStax AI Platform, built with NVIDIA AI, provides an end-to-end solution that not only reduces cost but unlocks unmatched speed of development — it makes applications smarter and more accurate as customers use it. We’re excited to deliver a platform that will change the trajectory of enterprise AI and redefine customer experiences.”

Kari Briski, NVIDIA, Vice President AI Software, 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.”

The all-new DataStax AI Platform gives enterprises a complete AI solution for all parts of the AI development and production lifecycle — from data ingestion and retrieval to application development to deployment and ongoing AI training. This solves two urgent problems:

AI Application Development: There are new tools necessary for AI application development, and those tools are mostly built for individual developers. However, they tend to break when it comes to the team and organizational workflows necessary in larger organizations. Right now, most AI projects are failing or are behind due to tool complexity. Having a unified platform greatly simplifies the variability in the tech stack.

Enables More Accurate AI: Companies need their AI applications to generate output based on their enterprise data, relevant to their business domain, and to learn from their customers’ interactions. NVIDIA NeMo Customizer and NeMo Evaluator simplify training or fine-tuning LLMs, SLMs, embedding models, and reranking models while DataStax’s AI application development platform gives developers the dynamic control of search and retrieval that is necessary to tailor GenAI to individual customers.

Key pieces in the DataStax AI Platform include DataStax Langflow platform, including an application development environment that simplifies creating and understanding complex logic flows via an intuitive visual interface.