DataStax Announces DataStax AI Platform Built with NVIDIA AI
DataStax, a one-stop generative AI stack platform, announced on October 17 that the DataStax AI Platform, built with NVIDIA AI, would reduce the AI development time by 60%. Kari Briski, NVIDIA, Vice President AI Software states, “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 DataStax AI Platform, built with NVIDIA AI  is one such platform that gives enterprises a holistic  solution for all parts of the AI development and production life cycle including data ingestion and retrieval , application development, deployment and ongoing AI training. The platform integrates the DataStax AI platform with NVIDIA AI Enterprise software, helping enterprises to build AI applications that use companies’ enterprise data and context.As a result , it makes it easier for enterprises to improve their models through self-learning and get more accurate with customer use. NVIDIA NeMo Customizer and NeMo Evaluator simplify training or fine-tuning LLMs, SLMs, embedding models, and reranking models. Meanwhile, DataStax’s AI application platform gives developers the dynamic control of search and retrieval that is necessary to tailor GenAI to individual customers. “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, ” adds  Sandeep Varma, PhysicsWallah, Head of AI. DataStax and Data Management DataStax delivers a RAG-first developer experience, with first-class integrations into leading AI ecosystem partners, working with developers’ existing stacks of choice.With DataStax, anyone can quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, Skypoint, and many more rely on DataStax. The company delivers industry-leading vector search, flexible hybrid search, knowledge graph and graph RAG, real-time AI analytics, streaming, pub/sub, and a linearly scalable NoSQL store. Available in the cloud(DataStax Astra), or cloud-native self-managed software (DataStax Hyper-Converged Database). The DataStax AI Platform, built with NVIDIA AI, is for both cloud and self-managed environments. This gives enterprises the flexibility to deploy as they prefer.  Cloud deployments can leverage their Amazon Web Services (AWS), Microsoft Azure, or Google Cloud environments. Many large enterprises need to run their AI applications in cloud-native self-managed data centers to fully control their technology stack. This holds value for heavily regulated industries like banks, insurance companies, and healthcare companies, which have often had issues with other AI tools that weren’t built for enterprise scale or compliance needs. Chet Kapoor, Chairman & CEO, DataStax: “As companies strive to leverage AI, we’re laser-focused on simplifying and accelerating the path to production to unlock innovation at scale.” Kapoor also mentions that DataStax AI Platform will change the trajectory of enterprise AI and redefine customer experiences.
Reduces AI Development Time by 60%; Handles AI Workloads 19x Faster;Enterprises Can Create AI That Increases In Accuracy As Customers Engage
Reduces AI Development Time by 60%; Handles AI Workloads 19x Faster;Enterprises Can Create AI That Increases In Accuracy As Customers Engage
["AI (Artificial Intelligence)", "NVIDIA"]
["GenAI", "AWS", "AI", "R", "SLM", "RAG", "generative AI", "analytics", "SQL", "NVIDIA", "Azure", "AI (Artificial Intelligence)"]
["AI", "analytics", "generative AI", "GenAI", "SLM", "RAG", "AWS", "Azure", "R", "SQL"]
Shalini is a senior tech journalist, exploring the latest advancements in AI. When she's not reporting on the latest innovations, you can find her immersed in her next literary adventure.