Showcasing GPU-accelerated graph analytics, NVIDIA integrations, and a trusted data platform delivering accurate answers, limitless scalability, and cost-efficiency for enterprise GenAI
Arango, the trusted data platform for enterprise-grade GenAI applications and solutions, today announced it will debut its new GenAI Data Platform at NVIDIA GTC Washington, D.C. on October 27–29, 2025 at the Walter E. Washington Convention Center. Under the theme “The GenAI Edge You’ve Been Missing,” Arango will showcase four live demos: GPU-accelerated graph analytics, NVIDIA VSS integration, GraphRAG for natural language Q&A, and enterprise-grade identity and access management. These demonstrations highlight how organizations can scale GenAI efficiently, reduce costs, and move from pilot to production faster.
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Arango Brings “The GenAI Edge You’ve Been Missing” to NVIDIA GTC Washington, D.C. on October 27–29, 2025. Visit us at booth I-2.
Most enterprise GenAI pilots never reach production because companies hit three barriers: fragmented data that leads to inaccurate answers, runaway infrastructure costs, and scalability bottlenecks that stall projects before they ever reach real-world use. Arango’s GenAI Data Platform eliminates those barriers by unifying graph, vector, document, and key-value data and full-text search in one trusted data foundation. The result is accurate, scalable GenAI at up to 70 percent lower cost.
“Organizations are realizing that fragmented data is the root cause of enterprise GenAI failures,” said Shekhar Iyer, CEO of Arango. “When data is scattered across multiple databases, accuracy suffers, trust erodes, and costs spiral. With Arango, organizations get accurate answers grounded in connected data, scalability that keeps pace with enterprise demands, and cost-efficiency that makes production GenAI sustainable. At GTC, we are showing organizations how to overcome these barriers and get GenAI into production faster with a platform built for trust and scale.”
Live Demos at Booth I-2
- Arango GraphRAG – Graph-powered RAG techniques for a queryable knowledge graph that improves natural language reasoning.
- NVIDIA VSS + Arango – Native integration of NVIDIA Video Search and Summarization with Arango, enabling scalable GraphRAG on video content.
- NVIDIA cuGraph + Arango – GPU-accelerated graph analytics through NVIDIA cuGraph on data stored in Arango’s multi-model platform.
- Arango IAM – Identity and access management with enterprise-grade security for roles, permissions, and authentication workflows.
NVIDIA VSS + Arango: From Hours of Video Review to Instant Answers
Teams in factories, retail stores, airports, and security operations are trying to make sense of an overwhelming volume of video. It’s not enough to quickly find a single clip — they also need to understand what’s happening across hours of footage to act with confidence. Traditional approaches require stitching together multiple tools and pipelines, which slows projects and drives up costs. NVIDIA’s Video Search and Summarization provides both fast retrieval and concise summaries of long-form video, and when paired with Arango’s GenAI Data Platform, those insights are stored and connected in a knowledge graph to deliver accurate insights in real time at enterprise scale. The result is smarter decisions, safer environments, streamlined operations, and cost-efficient performance across massive video workloads. Read the blog.
NVIDIA NVBugs + Arango: Accelerating Debugging at Scale
Teams across NVIDIA — from hardware to software engineering — depend on a central bug-reporting and tracking system to keep development moving. But with thousands of issues flooding in across departments, traditional search approaches often return incomplete or inaccurate results, slowing debugging cycles and delaying fixes. Conventional RAG systems can’t connect the dots across bug reports, metadata, and code references, leaving engineers without the full context they need.
By replacing traditional RAG with GraphRAG on Arango’s GenAI Data Platform, NVBugs combines vector search, full-text search, and graph traversals in a single multi-model environment. This delivers context-aware answers and accelerates the path from reported issue to resolution.
The result is more accurate insights, faster debugging turnaround times, and higher developer productivity across NVIDIA’s global teams.
“Arango is our GenAI data platform of choice because it delivers performance, scalability, and flexibility that others can’t,” said Joe Eaton, Ph.D., Distinguished System Engineer for Graph and Data Analytics, NVIDIA. “As our knowledge graphs grew past 100Ks nodes and edges, Arango scaled effortlessly across multi-node enterprise servers, continuing to deliver enterprise-grade graph queries at speed, where others stalled.
With NVIDIA GPU acceleration, it delivers 100× faster analytics, turning minutes-long queries into seconds, so we can iterate faster, feed richer context into GenAI models, and reduce up to 70% of our data infrastructure costs. Arango solved the ‘hitting-the-wall’ problem and powers our next wave of scalable GenAI applications.”
Meet the Arango Team
Arango executives and experts will be available for media briefings and customer discussions at Booth I-2, including Shekhar Iyer, CEO; Jakki Geiger, CMO; Josh Shams, Global VP of Sales; Michael Fonseca, Director of Solution Engineering; and Anthony Mahanna, Senior Data Science Engineer.
Partnership with NVIDIA
Arango is a proud member of the NVIDIA Inception Program, accelerating graph analytics and GenAI with GPU-optimized performance. It is the only graph database natively integrated for GPU acceleration through NetworkX and cuGraph.
Key Facts about Arango at NVIDIA GTC Washington, D.C.
- Event Dates: October 27–29, 2025 at the Walter E. Washington Convention Center, Washington, D.C.
- Booth: I-2
- Keynote: Jensen Huang, Founder and CEO of NVIDIA, on Tuesday, October 28, 2025
- Live Demos: GraphRAG for knowledge graphs, NVIDIA VSS + Arango integration, NVIDIA cuGraph + Arango GPU-accelerated graph analytics, Identity and Access Management.
- Team On Site: CEO Shekhar Iyer, CMO Jakki Geiger, Global VP of Sales Josh Shams, Director of Solution Engineering Michael Fonseca, and Senior Data Science Engineer Anthony Mahanna
- NVIDIA Partnership: Member of the NVIDIA Inception Program and the only native multi-model database with massively scalable graphs, natively integrated with NVIDIA cuGraph for GPU acceleration
- Business Impact: Arango’s GenAI Data Platform delivers accurate answers grounded in connected data, cuts data complexity, reduces infrastructure costs by up to 70 percent, and accelerates time from pilot to production
- Industry Context: Up to 95 percent of GenAI projects fail before reaching production, often due to fragmented data, scalability bottlenecks, and high infrastructure costs
- For More Information: To schedule a meeting or request a demo, contact marketing@arangodb.com
About Arango
Arango provides the trusted data foundation for the next wave of GenAI applications – delivering accurate answers, limitless scalability, and cost-efficiency. The Arango GenAI Data Platform enables developers to build enterprise-grade GenAI applications and solutions, eliminating the complexity and costs of integrating fragmented tools and technologies within a single integrated environment. It delivers ready-to-use ingestion pipelines, BYO LLM integrations, MLOps, and agentic frameworks for building GraphRAG/HybridRAG and enterprise context management solutions. At its core is a massively scalable multi-model database – combining graph, vector, document, key-value, and search data. Trusted by thousands of developers at companies including NVIDIA, HPE, London Stock Exchange, US Air Force, National Institutes of Health, Ministry de Defense France, Synopsys, and innovative GenAI startups like Articul8. Learn more at arangodb.com, LinkedIn, YouTube, and G2.
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