NVIDIA + KX: Agentic AI For Capital Markets
GPU-accelerated, time-aware financial research that unifies structured market data and unstructured intelligence
Overview
The KX-NVIDIA AI-Q blueprint moves beyond traditional RAG. Agentic workflows plan, execute parallel analytics across documents and time-series data, and ground outputs in real market truth — at GPU scale. By aligning data to event time and computing point-in-time correct context, the solution supports sub-second responsiveness and repeatable, auditable workflows at enterprise scale.
Why Combine KX With NVIDIA?
KX and NVIDIA combine a time-aware data layer with GPU-accelerated AI infrastructure to power end-to-end AI systems for capital markets. KX unifies streaming time-series and multimodal data in a single high-performance platform, while NVIDIA’s AI software stack (NeMo, NIM, cuVS, CUDA) optimizes retrieval, embedding, model orchestration, and inference—enabling firms to deploy scalable, trustworthy agentic AI workflows in live trading environments.
Agentic Research & Scenario Analysis
Compress hours of manual research into minutes using parallel tool execution across transcripts, filings, and live market data.
Time-Aware Reasoning
Cross-reference catalysts (earnings calls, filings, macro events) with price, volume, and volatility moves in a single workflow.
GPU-Accelerated Semantic Search
Sub-second retrieval across millions of documents using GPU-powered vector indexing fused with structured time-series analytics.
Stack Reduction & Operational Efficiency
Eliminate RAG sprawl and tool fragmentation by unifying vector search and time-series analytics in one production-grade platform.
A Unified AI Stack for Financial Decisioning
With KX’s high-performance time series database and NVIDIA’s advanced GPUs, this partnership merges proven strengths to deliver scalable AI solutions. KX’s AI Blueprints provide accessibility to GPU-accelerated agentic financial research that unifies time-series market data and unstructured research content, enabling citation-backed, decision-grade insight in minutes.
- Vector-native database: High-performance time series, vector-native database and analytics platform.
- Model Context Protocol (MCP) Integration: Expose KDB analytics as secure tools so agents can safely execute deterministic q/SQL operations, grounding AI responses in market truth while maintaining control and auditability.
- Capital markets expertise: Decades of experience delivering time-series analytics specifically tailored to the financial sector
- GPU Innovation: Groundbreaking developments like the Grace Hopper Superchip, drive high-performance computing, AI, and data analytics
- AI Ecosystem: Ecosystem accelerates generative AI with tools and APIs for seamless, cross-device deployment
- NVIDIA NIM: Suite of intuitive inference microservices streamline foundation model deployment across clouds and data centers
Positioned for the Future of AI in capital markets
The future of capital markets AI is agentic. As markets become faster and more complex, AI systems must understand time as a first-class dimension, operate in low-latency product environments, and execute analytics, not just retrieve text. The KX-NVIDIA AI blueprints deliver exactly that.
Combines speed, scale, and precision-characteristics essential for conventional AI workloads in capital markets
Architecture is inherently time-aware and optimized for high-performance workloads, making it ideal for today’s complex AI applications
Manages both structured and unstructured data seamlessly, enabling powerful new AI-driven insights from multiple data sources.
Meets the precision and speed demands of advanced AI, from predictive modeling to real-time insights
Agentic AI Blueprints for Capital Markets
The KX-NVIDIA AI Blueprints enable agentic financial research built for the speed and complexity of capital markets. Rather than relying on simple document retrieval, agents plan and execute multi-step workflows that span both unstructured research content and structured market data. They perform parallel tool calls across filings, transcripts, and live time-series datasets, dynamically refining their approach as new context emerges. Before delivering a response, the system self-checks and grounds its output in deterministic analytics executed directly against time-series truth. The result is comprehensive, citation-backed insight that moves beyond basic RAG to decision-grade intelligence — delivered in minutes, not hours.
AI-Q Time-Aware Intelligence Blueprint
The KX-NVIDIA AI-Q Blueprint extends agentic intelligence beyond document retrieval to true time-aware reasoning. By combining GPU-accelerated vector search with deterministic time-series analytics, agents can execute structured queries directly against market data while simultaneously synthesizing unstructured research content.
- Connects market events directly to price movements, liquidity shifts, and volatility changes, grounding every response in real-time market context.
- Executes deterministic q and SQL analytics against live time-series data before generating an answer.
- Ensures outputs are explainable, auditable, and rooted in structured market truth, not probabilistic guesswork.
- Transforms AI from a conversational assistant into a real-time analytical engine built for capital markets decision-making.
Real-world AI use cases powered by KX, Dell and NVIDIA
Explore real-world AI use cases powered by Dell PowerFlex, NVIDIA GPUs and KX software and run against Nano and fio tests to simulate real system load in a busy production environment. In parallel, we will run accelerated FSI RAG workflows, utilizing NVIDIA GPUs and the temporal and hybrid search capabilities of KDB.AI. The first scenario combines structured and unstructured data to highlight the correlation of 800,000 social posts against financial market price movements and volatility. The second scenario demonstrates how to detect and visualize trading patterns on the New York Stock Exchange.
Register your interest
Get access to our AI Lab and participate in KX and NVIDIA collaborative PoC
Our AI Labs provide a controlled, sandbox environment where you can safely test and refine AI-driven workflows using KX and NVIDIA technologies.
Participants will be provided access to resources, expertise and the latest cutting-edge software and hardware from KX, NVIDIA and our ecosystem partners, where we will work with you to explore and validate your AI ideas and bring a highly differentiated outcome to business problems.
To ensure this is a successful PoC, we ask that you collaborate with appropriate technical resources to engage with our AI labs environment and specialist teams. Participants will provide feedback, references and the opportunity to contribute to blogs or whitepapers. PoCs may last up to four weeks. Due to demand, priority may be given to more advanced and complex use cases.
From ideation to production, KX and NVIDIA are here to support your AI journey from concept to scalable deployment.
Register to get access to our AI Lab
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