NVIDIA + Kinetica

Kinetica is a vectorized database designed to utilize the parallel processing capabilities of GPUs

Kinetica’s real-time analytics database on NVIDIA DGX Systems provides real-time analytics on data—in motion and at rest — significantly faster than traditional systems, and at much lower overall cost. Together, NVIDIA and Kinetica deliver breakthrough performance on streaming and historical data, location intelligence, and machine learning powered analytics.

NVIDIA GPU-accelerated analytics and interactive visualization solutions provide deeper insights, enable dynamic correlation, and deliver predictive outcomes at superhuman speed, accuracy, and scale. We also have a native integration with RAPIDS to enable an end-to-end GPU-accelerated machine learning pipeline from data exploration to training and deployment. Read the blog or the datasheet to learn more.

Accelerated Innovation for Analytics and High-Performance Computing

The Kinetica real-time analytics database enables enterprises to quickly operationalize extreme analytics, machine learning, and data visualization. Having Kinetica on NGC eliminates complexity and operationalizes machine learning, and businesses can now choose between cloud, on-premises, or hybrid deployment models for flexible business operations.

Unparalleled performance with breakthrough speed of results

Kinetica is accelerated by NVIDIA’s advanced parallel computing technology to enable unprecedented performance
Under the hood, our platform takes advantage of vector and matrix processing for complex data computation on large datasets, making data preparation through distributed ingestion and extraction significantly faster

Exceptional visual insights with interactive location-based analytics

Kinetica’s ‘Reveal’—a built-in interactive visual discovery tool—enables deep analysis on temporal and geospatial data
Kinetica leverages NVIDIA’s GPUs for in-memory distributed image processing and rendering, delivering an exceptional visual analysis experience

Streamlined machine learning using market-leading GPUs

Seamlessly integrate pre-existing models and open source libraries and tools (such as RAPIDS, TensorFlow, Caffe, Torch, Fuzzy Logix, DeepChem, H2O, and Continuum) into workflows with Kinetica’s highly-scalable technology
Simultaneously process and manage BI/AI workloads and use cases using a single engine with data and compute co-located

Enterprise-grade Analytics

An in-memory GPU architecture with advanced GPU abstraction technology—along with simplified administration—deploys on industry-standard hardware, Kinetica scales linearly for businesses that need to adapt to constant change
Seamless integration with industry-standard connectors to data sources and apps enables deployment of Kinetica in existing technology ecosystems

Recommended Hardware

NVIDIA GPUs are available in servers, supercomputers and cloud platforms around the world. You can now get end-to end accelerated analytics solutions powered by NVIDIA GPUs with supporting software technologies and support from NVIDIA experts. Learn more here.

The Kinetica is also available on NGC.