Explore KX and NVIDIA AI Labs
Delivering unmatched performance and scalability for AI in capital markets.
Why combine KX with NVIDIA?
KX’s high-speed data processing, paired with NVIDIA’s powerful GPU acceleration, has the potential to deliver rapid, large-scale data analysis, accelerating the ideation and iteration of trade strategies and empowering scalable AI solutions with exceptional speed and efficiency.
Rapid trade ideation
AI-powered, market analysis, enabes the rapid iteration of trading strategies to accelerate decision-making, and enhance trade execution
Analyze unstructured data
Allow for real-time processing of both structured and unstructured data, opening new possibilities for predictive analytics and risk management.
Unparalleled performance
Handle high frequency trading scenarios, complex order types and multi-asset class trading with unparalleled speed and accuracy.
Optimized TCO
Gain acess to a high-performance AI ecosystem while minimizing hardware, development, and operational costs.
A winning combination for capital markets
With KX’s high-performance time series database and NVIDIA’s advanced GPUs, this partnership merges proven strengths to deliver scalable AI solutions. Together, we tackle capital markets’ data demands, providing unmatched speed, efficiency, and real-time analytics at scale.
- Vector-native database: High-performance time series, vector-native database and analytics platform.
- Leverage unstructured data: The database layer in large-scale multimodal RAG workflows, enabling real-time insights from both structured and unstructured data sources
- 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
KX’s high-speed data processing, paired with NVIDIA’s powerful GPU acceleration, has the potential to deliver rapid, large-scale data analysis and empower scalable AI solutions with exceptional speed and efficiency.
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
Accelerated development blueprints
Our blueprint solutions simplify the integration of GPU-optimized workflows, enabling developers to quickly launch AI-driven applications. These ready-to-use blueprints offer technical guides, code repositories, and demo applications, ensuring a streamlined path to value and faster time to market for complex AI solutions.
The demand for rapid, comprehensive insights across structured and unstructured data is growing in capital markets. By combining KX’s data layer within RAG (Retrieval-Augmented Generation) workflows and NVIDIA’s GPUs, you can:
- Synthesize data from diverse sources such as news, reports, and public records
- Access real-time market intelligence to make fast, informed decisions
- Transform information into actionable insights with optimized retrieval
Want to access our Accelerated Development Blueprints?
Demos
Turbo charge AI workloads with KX software on NVIDIA
Explore how financial institutions can turbo charge their AI workloads with enhanced accuracy, flexible deployments, reduced latency, and power consumption with KX software on NVIDIA solutions. Powered by the latest NVIDIA Grace Hopper or H100 GPUs and AI models such as Llama 3, organizations can now ingest millions of documents and create their associated vector embeddings with KDB.AI in minutes, not months, delivering unmatched performance in temporal analysis, hybrid search, and advanced RAG use cases.