Digital Newsletter
Each week our editor Phil Alsop rounds up the most popular articles, videos and expert opinions. We compile this into a Digital Newsletter and send it straight to your inbox every week.
Digital Magazines
We'll let you know each time a new edition of MSP Channel Insights is released so that you're always kept up-to-date with the latest and greatest news and press releases.
Video Magazines
The MSP Channel Insights Video magazine contains the latest Zoom interviews with experts in the industry.
While supply chain pressures have alleviated since the pandemic, access to GPUs is not uniform, with a recent report from Bains suggesting this issue could worsen in the near future. AI companies are typically accessing GPU as cloud-based resources (31.6%), hybrid cloud resources (31.5%), or through on-prem infrastructure (13.5%)
The cost of running GPUs, either through provider pricing, inference, or power requirements, also presents barriers to capitalising on the hardware. In Civo’s research of nearly 600 AI professionals, 81.9% agreed that adequate GPU capacity is essential for maintaining long-term competitive advantage. Despite this, 96.9% of respondents cited high computational costs as a significant limitation on their organization’s ability to capitalize on AI and ML.
The research further found that a majority (74.5%) anticipate a growing need for GPU capacity over the next 12-24 months, yet many lack the resources to meet these expanding requirements. The top challenges companies cited in scaling AI/ML infrastructure were the high costs associated with infrastructure (54.3%), limited access to skilled personnel (43%), and the high cost of inference (40.3%).
Mark Boost, CEO of Civo, commented: “The transformative potential of AI is clear, but our research reveals that, for most organisations, the high costs and limited access to GPU resources are standing in the way of real innovation. For too long, the prohibitive costs associated with GPUs have been a bottleneck, forcing companies to put the brakes on projects that could otherwise drive industry-changing advancements. The benefits of Artificial Intelligence should not be solely reaped by companies large enough to both hoard GPUs and afford the energy costs of such scale.”
“At Civo, we believe there’s a better way forward. Our commitment to providing affordable GPU rates opens new doors for organizations, enabling them to scale AI initiatives without breaking their budgets. We’ve seen cloud innovation be hindered by restrictive pricing, and we should not let the same happen with AI.”
