If you’re building AI models, then you will understand that the data flow never stops, massive training sets, checkpoints, logs, and raw files. Only a small percentage of this data is ever hot and active the vast majority still needs to be stored for future AI and ML training or compliance.

As Data Architects, Engineers and DevOps will understand, the problem with building data workflows is that solutions like AWS direct data to data lakes like Amazon Glacier, which may appear inexpensive compared to their top tier hot storage offerings, but they have retrieval and egress fees which to some may come as an unpleasant added surprising cost, and quickly eat into budgets right at the moment you need to retrieve and extract value form your owned first party data to retrain models or for compliance audits.

Sound familiar? You’re not alone.

Cloud Cold Storage have no restore or egress fee’s and we store data for the long haul in a sustainable environmentally friendly fashion on industry standards cold storage equirpment, ready to steam huge amounts of data back when you need it.