The 5-Minute GPU Audit: A Checklist for Instantly Spotting Waste
Most organizations waste 95% of their GPU spend without knowing it. Run this five minute audit to find the leaks and fix them before the next invoice.
See how one company slashed processing times and cut costs by optimizing their big data infrastructure.
There isn't much of a debate when it comes to whether or not the system chosen to process big data can have a huge impact on timeliness, resources and expenses. However, it can be difficult to grasp just how much of a speed-up is possible between the alternatives and with so many options available, selecting the right solution can become daunting.
To illustrate, this case study will delve into one company's struggle with lengthy processing times and their costly expenses as they searched for a better, more effective way of managing their business needs.
Insights, updates, and stories from our team
Most organizations waste 95% of their GPU spend without knowing it. Run this five minute audit to find the leaks and fix them before the next invoice.
The fix to platform team understaffing isn't hiring more — it's building on infrastructure where monitoring, security, and upgrades come built in.
Upstream contribution costs real engineering time. It also compounds over time in ways that internal fixes never do. What fifteen years of contributing to OpenStack, Kubernetes, and Ceph actually looks like.