AI workloads – especially in areas like generative models, real-time analytics, and machine learning – are incredibly resource-intensive. This means we’re seeing a growing appetite for high-performance compute infrastructure, making demand for GPUs, SSDs, HDDs, high-capacity memory, and advanced cooling solutions surge. Basically, your customers want more of the products that are essential for training and deploying AI models. The thirst for more powerful and efficient hardware is on the rise, and our portfolio covers the very heart of this surge. 

It’s clear to us all by now that AI isn’t just a buzzword: it’s a business driver. At Exertis, we see the constant, transformational power of this tech shaping everything from data centres to consumer desktops. For those of us in the channel, there’s a question that’s becoming increasingly relevant: is the rise of AI causing a spike in demand for components? From where we stand, the answer is an unequivocal ‘yes’. And we’ll tell you why.  

Hardware demand

AI workloads – especially in areas like generative models, real-time analytics, and machine learning – are incredibly resource-intensive. This means we’re seeing a growing appetite for high-performance compute infrastructure, making demand for GPUs, SSDs, HDDs, high-capacity memory, and advanced cooling solutions surge. Basically, your customers want more of the products that are essential for training and deploying AI models. The thirst for more powerful and efficient hardware is on the rise, and our portfolio covers the very heart of this surge. 

Currently, we’re seeing a lot of movement in a few categories across the components sphere. GPUs, for example, are indispensable, with brands in our portfolio like ASUS, Gigabyte, MSI, PNY, and Zotac seeing consistent demand for their high-performance cards – specifically those built on NVIDIA architectures. Meanwhile, storage solutions like those offered by Kingston, Samsung, Seagate, and WD are seeing strong uptake for their high-capacity SSDs and NVMe drives, which helps with the massive data sets required by AI workloads, especially in large-scale data environments. When it comes to memory and processing, we know that data-hungry workloads demand high speed memory, which means your customers need RAM that can keep their systems running at top speed, paired with Intel CPUs to provide platforms that are capable of supporting real-time AI inference at the edge, or high-level training in the cloud.
 
With great power comes the need for great thermals – and that’s even more critical when your customers are running powerful AI rigs. To keep airflow optimised with even the most high-performance builds, it’s essential to offer efficient cooling solutions that can take the heat of AI innovation. 

Here at Exertis, we’re your best partner when it comes to support for resellers, integrators, and system builders who are looking to scale up to meet the growing demand of AI. So whether you’re sourcing AI-ready components, building workstations for data scientists, or stocking solutions for creative professionals, we’re ready with the right brands, inventory, and expert support. If you’re looking to get in on the action of the AI-driven surge in component demand, talk to your Exertis account manager today – we’re here to help you build what’s next.