Dr. Owen
Rogers
Cloud providers need to win AI use cases in their early stages of development. If they fail to attract customers, their AI applications may be locked-in to rival platforms and harder to move, which can have serious repercussions.
Dr. Owen Rogers
Dr. Owen Rogers is Uptime Institute’s Senior Research Director of Cloud Computing. Dr. Rogers has been analyzing the economics of cloud for over a decade as a chartered engineer, product manager and industry analyst. Rogers covers all areas of cloud, including AI, FinOps, sustainability, hybrid infrastructure and quantum computing.
orogers@uptimeinstitute.com
Latest Research
Why AWS’s AI strategy is a sprint
How tagging provides better management of cloud costs
Visibility into costs remains a top priority for enterprises that are consuming cloud services. Improving the tagging of workloads and resources may help them to spot, and curb, rising costs.
Most AI models will be trained in the cloud
The cost and complexity of deploying large-scale GPU clusters for generative AI training will drive many enterprises to the public cloud. Most enterprises will use pre-trained foundation models, to reduce computational overheads.
Why technology business management does more than FinOps
While the aim of FinOps is to manage just the cloud costs, technology business management seeks to aggregate all costs of IT, including data centers, servers, software and labor, to identify savings and manage return on investment.
Understanding AI deployment methods and locations
Enterprises have various options on how and where to deploy their AI training and inference workloads. This report explains how these different options balance cost, complexity and customization.
What is the outlook for GPU cloud providers?
To meet the demand driven by AI workloads, a new breed of cloud provider has emerged, delivering inexpensive GPU infrastructure as a service. Their services are highly demanded today, but longer-term, the market is ripe for consolidation.
How generative AI learns and creates using GPUs
While GPUs are the power-hungry devices that enable effective AI training, it is innovations in software that are fueling the recent surge in interest and investment. This report explains how neural networks power generative AI.
New quantum cloud region signals increased commercial focus
Although quantum computing promises a revolution in scientific discovery, its use is still constrained to research and continuing development. However, a new IBM quantum data center in Germany signals a growing interest in its capabilities.
Always consider reserved instances to squeeze cloud costs
Reserved instances are a pricing model for virtual machines offered by cloud providers. As they offer savings of up to 70% compared with on-demand pricing, organizations should use them liberally, especially in challenging times.
Using spot instances to cut cloud costs
The key benefit of cloud computing lies in its on-demand pricing model. This enables organizations to grow or shrink their applications at will without giving the cloud provider any advance notification. Cloud providers can only offer such…
Uptime Institute Global Data Center Survey 2023
Douglas
Donnellan
Daniel
Bizo
Jacqueline
Davis
Andy
Lawrence
Max
Smolaks
The Uptime Institute Global Data Center Survey highlights the experiences and strategies of data center owners and operators in areas of resiliency, sustainability, efficiency, staffing, cloud and innovative technologies.
Corporate data centers quash cloud concentration risk
In recent conversations with both regulators and some enterprises, a concept borrowed from the financial sector has been discussed with growing frequency: concentration risk. In finance, the term refers to the level of risk arising from the…
Who is responsible for cloud data resiliency and availability?
Organizations encounter a bewildering assortment of cloud storage platforms. The difference between the offerings lies in who is responsible for scaling, resiliency and performance: the provider or the customer.
Use tools to control cloud costs before it’s too late
The public cloud’s on-demand pricing model is vital in enabling application scalability — the key benefit of cloud computing. Resources need to be readily available for a cloud application to scale when required without the customer having to give…
Where the cloud meets the edge
Low latency is the main reason cloud providers offer edge services. Only a few years ago, the same providers argued that the public cloud (hosted in hyperscale data centers) was suitable for most workloads. But as organizations have remained…
