Lynx Analytics Unveils LynxKite 2000:MM - The Next Generation of GPU-Optimized Graph AI
Lynx Analytics, a member of the NVIDIA Inception program, has unveiled the latest version of its Graph AI platform called LynxKite 2000:MM. This new platform is aimed at boosting Graph AI and Generative AI applications. By offering advanced features, LynxKite 2000:MM is set to enhance performance and efficiency. The announcement was made by Lynx Analytics in Los Gatos, California. This development highlights the company's commitment to innovation in AI technology.
LOS GATOS, Calif., March 19, 2025 — Lynx Analytics, a member of the NVIDIA Inception program for startups, today announced the launch of LynxKite 2000:MM, the most advanced version of its Graph AI platform. Designed to accelerate Graph AI and Generative AI applications, this major release is optimized for NVIDIA accelerated computing, NVIDIA RAPIDS, NVIDIA cuGraph, and NVIDIA BioNeMo and introduces capabilities that redefine performance and scalability.
LynxKite 2000:MM Capabilities
LynxKite is a powerful tool built to create and analyze massive networks such as knowledge graphs, integrating them seamlessly into AI workflows in a way that data always stays on the GPU for maximum performance. The latest version was developed to support a wide range of applications where Graph AI and Graph RAG provide measurable advantages over non-graph-based methods.
For example, LynxKite 2000:MM, in combination with NVIDIA BioNeMo SDK, RDKit, and Graph Neural Networks, present a powerful solution for the pharmaceutical industry. By integrating these workflows, pharmaceutical companies can uncover novel insights into drug discovery, target identification, and molecular interactions.
This fusion of Graph AI and Generative AI empowers researchers to create systems that model complex relationships, accelerate hypothesis generation, and enhance decision-making in biomedical research. By integrating patient data into knowledge graphs to identify unusual genetic variants and their connections to symptoms, such systems generate mechanistic hypotheses about how these variants affect biological pathways.
Performance at Scale: Optimized for NVIDIA GPUs
LynxKite 2000:MM is optimized for NVIDIA GPUs, ensuring seamless execution of high-priority algorithms directly on GPU hardware. This optimization significantly improves processing speed and efficiency, enabling users to tackle large-scale graph data challenges with unprecedented ease.
Gyorgy Lajtai, CEO of Lynx Analytics, emphasized the impact of NVIDIA's support for this product release: "The collaboration with NVIDIA has been instrumental; by leveraging NVIDIA accelerated computing and their team's deep expertise, we've achieved computational speed-ups of up to 1,000x, transforming the scale and efficiency of our solutions for our customers, to unlock insights from their data faster, and push the boundaries of what's possible in Graph AI."
LynxKite 2000:MM Features
LynxKite 2000:MM delivers a suite of cutting-edge features, including:
- Native Support for NVIDIA GPU Clusters
- Integration with cuGraph Libraries
- Integrating NVIDIA BioNeMo
- Integrating RDKit
- Over 600 Graph Algorithms, Including NetworkX
- Multi-User Collaboration
- Task-Specific Workspaces
- Seamless Data Format Conversion
About Lynx Analytics
Lynx Analytics is a leading AI-driven analytics company specializing in graph-based intelligence solutions. With expertise spanning pharmaceuticals, telecommunications, finance, and retail, Lynx Analytics empowers businesses to extract deep insights from their data and drive innovation through advanced AI technologies.
SOURCE Lynx Analytics