With the rise of AI, machine learning, and other data-intensive workloads, GPUs have become vital components for many businesses. The challenge is getting the most out of them. After all, if you're not utilizing your GPUs to their full potential, you're essentially throwing money away. Fortunately, with composable disaggregated infrastructure (CDI), businesses can maximize their GPU utilization rates and unlock their true potential. Let's take a look at how CDI works and how it can help your organization get the most out of its GPUs.
What is CDI?
CDI is an approach to infrastructure that allows organizations to dynamically allocate resources to server workloads depending on their needs. In other words, instead of having to dedicate specific hardware components (like GPUs) directly to a server for a specific application or workload, CDI enables you to provision hardware resources via software for as long as needed to maximize efficiency and minimize waste. This makes it much easier for IT teams to scale up or down depending on demand – something that can be especially helpful when dealing with high-performance workloads like AI development or machine learning.
How Can CDI Increase GPU Utilization?
The main benefit of CDI for organizations is that it can dramatically increase GPU utilization rates by allowing them to deploy precise amounts of resources to each server node as needed. By doing this, businesses can ensure that they're always getting the most out of every GPU. Additionally, since CDI enables IT teams to dynamically allocate resources based on need rather than pre-allocating them in advance, there's less risk of overprovisioning or underutilizing any given resource – meaning fewer wasted resources and more efficient use of existing ones.
Maximizing Performance with CDI
At the end of the day, using CDI for GPU utilization isn't just about saving money; it's about boosting performance too. By enabling IT teams to quickly and easily scale up or down according to demand, CDI helps ensure that organizations are always running at peak efficiency – something that would otherwise be impossible without dynamic resource allocation capabilities. With CDI, you're not limited by how many GPUs fit in the server. With Liqid's CDI solution, GPU On-Demand, you can fit 5, 10, 15, or more GPUs in an off-the-shelf server to meet challenging workload needs. And since these solutions enable IT teams to quickly scale up when needed without having to invest in additional hardware upfront, they also provide an easy way for businesses to quickly respond to changing market conditions without having too much idle hardware taking up space in their data centers (or worse yet—money sitting unused).
Conclusion
As data-intensive workloads become more prevalent in today's digital economy, it's increasingly important for businesses to make sure they're getting the most out of their GPUs so they don't waste valuable time and money waiting for results from underutilized hardware components. With composable disaggregated infrastructure (CDI), however, businesses can maximize GPU utilization rates by dynamically allocating resources as needed—enabling them to get more work done in less time while
freeing up valuable capital investments for other projects and initiatives. So if you want your organization’s AI development efforts or machine learning projects running at peak efficiency—and who doesn't?—it pays off big time (literally!) to consider Liqid's composable disaggregated infrastructure solution, GPU On-Demand, today!
