Combine the power of GPU & CPU

GPU-Accelerated Database

The Kinetica Platform includes a distributed, in-memory, GPU-accelerated database that utilizes a powerful combination of CPUs and GPUs to analyze massive, complex datasets with millisecond response times.

In-Memory OLAP Database

At the core of Kinetica is a vectorized, columnar, memory- first database designed for analytical (OLAP) workloads. Kinetica automatically distributes any workload across CPUs and GPUs for optimal results.

GPU Accelerated

Purpose-built to leverage the parallel computing power of the GPU. Kinetica automatically distributes any workload across CPUs and GPUs for optimal results. Use industry standard SQL to process and analyze billions of rows of data in a matter of microseconds.

Wide Range of Analytical Techniques

Kinetica supports full range of analytical techniques including text search, time series analysis, location intelligence, and graph analytics, as part of a fully-integrated toolset.

Enterprise Scale Tiered Storage

Designed for enterprise scale, Kinetica can operate on the entire data corpus by intelligently managing data across GPU memory, system memory, disk / SSD, HDFS, and cloud storage like S3 for optimal performance.

The Mythbusters Demo GPU Versus CPU

The Mythbusters, Adam Savage and Jamie Hyneman, use art and science to demonstrate the power of GPU computing in this minute-and-a-half video.

BI Meets AI

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