DataStax at GTC 2025
At NVIDIA GTC, we shared how developers are reducing AI development time by 60%. With sessions on AI Agents, ingesting and vector embedding millions of records 15x faster, and improving AI accuracy, it was an exciting and impactful week.
San Jose, CA • North America
Build Enterprise-Ready AI Agents with DataStax and NVIDIA Accelerated Computing
Go from answering questions to solving problems. Learn how easy it is to create and deploy multi-agent AI applications that can collaborate, evaluate options, and make decisions. Easily deploy tools that become action engines.
Follow up with the DataStax Team
If you weren't able to book time during GTC, there’s still time to meet with our expert staff. Let’s discuss your AI plans, the issues you’ve faced, and learn how others have addressed their challenges and moved their AI apps into production.
GTC AI Leaders Welcome Reception with DataStax, Glean, and NVIDIA
Our high-energy happy hour co-hosted with Glean and NVIDIA was awesome. Thanks to everyone who joined us for cocktails and conversations around production AI.
Live at NVIDIA GTC 2025
Featured Sessions
How to Not Fail: Simplify AI Deployment and Accelerate Time to Production with AI Platforms Built with NVIDIA AI
Deploying AI applications in production is one of the toughest challenges enterprises face today, from navigating evolving tools to managing resource-heavy pipelines. Join experts from DataStax and one of their customers to hear how they overcame significant roadblocks, including high costs and underwhelming performance with off-the-shelf solutions. Discover how adopting the DataStax AI Platform, built with NVIDIA AI, streamlined development, reduced complexity, and enabled a high-performance production launch—providing actionable insights to help developers and leaders tackle AI deployment hurdles and achieve success faster.
Panelists:
- Moderator: Mala Tejwani, COO, DataStax
- Michael Cullum, VP of Data & Engineering, Bud Financial
- Joseph Fu, Senior Director Cloud and ISV GTM, NVIDIA
- Greg Stachnick, Vice President of Product Management, DataStax
Rethinking E-Commerce: Build a Multi-Agent Shopping Assistant on Langflow
Agents are key to bringing your AI platform to life—but how do you get started? Join Kiyu Gabriel, GM, Search & AI at DataStax, to learn how to customize and deploy an agentic shopping assistant using Langflow’s intuitive drag-and-drop interface and the NVIDIA NeMo platform. Discover how Langflow and NVIDIA NeMo streamline the creation of robust, multi-agent solutions, empowering you to build intelligent, scalable systems with ease for e-commerce and beyond. This session is also a preview of the hands-on workshop, Getting Started with Langflow: Build a Multi-Agent Shopping Assistant, where you’ll get hands on and create the same flow demonstrated in this session.
Speaker: Kiyu Gabriel, GM, Search and AI, DataStax
Get Started with Langflow: Build a Multi-Agent Shopping Assistant
Harness Langflow and NVIDIA NeMo Framework to design and deploy powerful, multi-agent solutions. Join DataStax for an interactive training lab where you'll learn to design and deploy a custom shopping assistant using Langflow's intuitive drag-and-drop interface and NVIDIA NeMo Framework. From data ingestion to NVIDIA NIM model fine-tuning, uncover innovative strategies to streamline agent creation while designing intelligent agentic workflows. Gain hands-on experience in configuring agents, customizing retrieval-augmented generation (RAG) pipelines, and deploying a multi-agent workflow.
Speaker: Kiyu Gabriel, GM, Search and AI, DataStax
Hacking Agents: Unlock the Cognitive Value Chain with Langflow
Join Rodrigo Nader, the founder of open-source Langflow, and a DataStax customer to learn how agents can leverage the powerful components of NVIDIA NeMo — from Guardrails to fine-tuning — to streamline the development, deployment, and management of data-driven applications. Gain insights into the benefits and trade-offs of different agent architectures, learn best practices for organizing and delegating tasks among multiple agents, and discover how to equip agents with the necessary tools to perform complex tasks autonomously. Through practical demonstrations and real-world examples, we'll show you how agents built on Langflow with NVIDIA components can significantly reduce development time, improve application performance, and connect the dots to how agentic architecture can drive business transformation.
Speaker: Rodrigo Nader, Founder, Langflow