Case Study: Hive achieves 80% reduction in cloud network costs and global AI scale with Digital Realty Service Exchange

Hive accelerates Artificial Intelligence strategy with a full-stack approach to machine learning

Hive is an AI company that builds proprietary models for large clients and offers pre-trained visual-data APIs to smaller firms, ingesting, tagging and analyzing visual data globally. Facing rapid growth and massive bandwidth and power needs, Hive needed to move from a cloud-only setup to a hybrid, cost-effective environment with reliable colocation and global data-collection capabilities.

By adopting a hybrid model with Digital Realty’s colocation and Service Exchange (bandwidth on demand and secure multi-cloud connections), Hive built a scalable base infrastructure and bursts to the cloud as needed. The result: an estimated 80% reduction in cloud network costs, simplified on-the-fly multi-cloud management, continuous 24/7/365 global data collection and analysis, and the reliability required for large-scale AI operations.

Hive

Dmitriy Karpman

CTA and Founder