Today, Telehouse released data from its AI Workload Strategies 2025 report, exploring how businesses around the world are navigating the complex infrastructure demands of AI deployment—while also contending with intensifying cyber threats that risk disrupting critical operations.
The study comes at a pivotal time for global enterprises as AI initiatives scale across cloud, on-premises data centres, colocation facilities, and specialist GPU clouds—each posing unique performance, security, and connectivity demands. The findings underscore a fragmented but rapidly evolving AI infrastructure landscape, with no one-size-fits-all model.
Some key findings from the survey include:
- AI workloads are widely distributed: Only 35 per cent are deployed in the public cloud, while on-premises data centers, third-party colocation and specialist GPU clouds each host about 10% of workloads.
- Network and infrastructure challenges are stalling progress: 55 per cent of businesses report significant networking issues with AI deployments, and 39 per cent have abandoned AI projects due to infrastructure-related barriers.
- Connectivity, skills, and GPU access drive venue decisions: Companies cite internal IT skills, network/fibre availability, GPU infrastructure, and cost considerations as key factors in selecting where to deploy AI workloads.
- Colocation providers gain appeal: Demand for AI-related services is boosting the role of colocation providers as businesses seek more tailored, high-density compute environments to support AI/ML workloads.
There are many more findings in the full report, which can be accessed here.
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This entry was posted on May 7, 2025 at 3:24 pm and is filed under Commentary with tags Telehouse. You can follow any responses to this entry through the RSS 2.0 feed.
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New Telehouse report reveals infrastructure gaps slowing global AI adoption
Today, Telehouse released data from its AI Workload Strategies 2025 report, exploring how businesses around the world are navigating the complex infrastructure demands of AI deployment—while also contending with intensifying cyber threats that risk disrupting critical operations.
The study comes at a pivotal time for global enterprises as AI initiatives scale across cloud, on-premises data centres, colocation facilities, and specialist GPU clouds—each posing unique performance, security, and connectivity demands. The findings underscore a fragmented but rapidly evolving AI infrastructure landscape, with no one-size-fits-all model.
Some key findings from the survey include:
There are many more findings in the full report, which can be accessed here.
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This entry was posted on May 7, 2025 at 3:24 pm and is filed under Commentary with tags Telehouse. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.