Editor’s be aware: In the present day, we hear from our associate MapD, whose information analytics platform makes use of GPUs to speed up queries and visualizations. Learn on to find out how MapD and Google Cloud are working collectively.
MapD and public cloud are a fantastic match. Combining cloud-based GPU infrastructure with MapD’s efficiency, interactivity and operational ease of use is a giant win for our clients, permitting information scientists and analysts to visually discover billion-row datasets with fluidity and minimal problem.
Our Group and Enterprise Version photographs can be found on AWS, MapD docker containers can be found on NVIDIA GPU Cloud (NGC), in addition to our personal MapD Cloud. In the present day, we’re thrilled to announce the provision of MapD on Google Cloud Platform (GCP) Market, serving to us carry interactivity at scale to the widest attainable viewers. With companies like Cloud DataFlow, Cloud BigTable and Cloud AI, GCP has emerged as a fantastic platform for data-intensive workloads. Combining MapD and these companies allow us to outline scalable, high-performance visible analytics workflows for a wide range of use circumstances.
On GCP, you’ll discover each our Group and Enterprise editions for K80, Pascal and Volta GPU situations within the GCP Market. Google’s versatile strategy to attaching GPU dies to plain CPU-based occasion sorts means you possibly can dial up or down the required GPU capability on your situations relying on the dimensions of your datasets and your compute wants.
We’re assured that MapD’s availability on GCP market will additional speed up the adoption of GPUs as a key a part of enterprise analytics workloads, along with their apparent applicability to AI, graphics and common objective computing. Click on right here to check out MapD on GCP.
