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IBM Power and the Cloud Questions CIOs Can’t Ignore
Are you looking for ways to modernize your IBM Power environment without starting over? Do you want the freedom to choose the right platform -...
Are AI demands moving faster than your IBM Power environment can keep up? Your Power Systems have earned their reputation by running the same critical workloads reliably for years. But your AI projects do not work on that timetable. They evolve in weeks and often need bursts of scale that do not line up with Power9, Power10, or Power11 refresh cycles.
That clash forces you to make tough choices. Do you keep trusted platforms in place and risk slowing down AI? Or do you overbuild and pay for capacity you don’t always need?
The good news is you have options. You can accelerate refresh cycles. You can explore managed services or cloud-native rebuilds. But for many Power clients, the practical answer is simpler: extend what already works into an environment that can move at AI’s speed.
That is where IBM Power Virtual Server (PowerVS) comes in. Running IBM Power natively in IBM Cloud, it lets you choose the hardware generation that fits each workload and scale capacity up or down as AI projects require. The result: you keep mission-critical stability while giving your business room to innovate.
Your IBM Power environment is built for stability - and that is why you trust it to run critical workloads year after year. But AI does not work on the same schedule. Some projects need a sudden burst of resources to crunch through large datasets, then nothing at all for weeks. Others have to stay on all the time and be ready to respond instantly when demand spikes.
That mismatch leaves you with hard decisions. Do you overbuild to cover every possible surge, even if it means paying for capacity you rarely use? Or do you hold back and risk slowing down initiatives the business wants right now?
Some leaders choose to refresh hardware sooner. Others look at third-party services or cloud-native rebuilds. But for many Power clients, the smarter path is hybrid: extending IBM Power into the cloud so workloads can flex when they need to - while your core systems stay on the stable foundation you already know and trust.
Imagine a regional healthcare provider running core patient records, billing and lab systems on IBM Power. Their clinical team wanted to test AI to help doctors with documentation and make it easier for patients to get answers.
But IT was stuck. They could not risk experimenting on production systems that had to stay compliant and available. And their data center was already near capacity - adding new hardware would take months and tie up capital.
Leadership had a choice: delay the project until the next refresh, outsource it, or find a way to move faster without putting compliance at risk. They chose a different path. By extending their IBM Power environment into IBM Cloud with PowerVS, they spun up a secure, isolated space for testing AI. Core systems stayed untouched on Power11 hardware, while the data science team got the flexibility they needed.
The payoff was felt beyond IT. The clinical team delivered new patient-facing tools sooner, compliance stayed intact, and IT avoided overspending. In short: the organization kept the reliability of Power while matching the speed AI demanded.
If you are running on IBM Power11, you already have advanced AI capabilities built in - from GPU attachment to matrix math acceleration to high memory bandwidth. The question is not whether Power can support AI. It can, and it does. The question is: how quickly you can put those capabilities to work, and how cost-effectively you can scale them.
That is where PowerVS adds value. Instead of waiting for new hardware or overbuilding capacity you do not always need, PowerVS lets you:
You keep the performance and reliability you count on from Power, but now you have the flexibility to run AI at its pace, not your refresh cycle’s.
You already know the old debate: cloud versus on-prem. But AI does not care about that binary.
Some workloads are too sensitive to move. They belong on the Power systems you already trust. Others need the speed and flexibility of the cloud to develop, tune and deploy quickly. And when AI models have to scale to reach users everywhere, the cloud is the only way to deliver.
That is why hybrid is becoming the practical choice. All-in on-prem slows you down. All-in on cloud strips away the control and governance you have built. A blended model with PowerVS gives you both: stability where you need it, agility where you do not want to wait.
You do not need a blank-slate rebuild to make AI work in your IBM Power environment. What you need is a way to scale AI while building on the strengths of Power.
PowerVS does exactly that. It runs IBM Power natively in IBM Cloud, so your operating systems, tools, and processes stay the same - only now with the flexibility of cloud behind them.
That means no re-platforming projects, no mass retraining, and no risk to the workloads that Power already runs reliably. You simply add elasticity on top of your existing foundation: scale up when AI projects peak, and scale back when demand settles.
The result is balance. Your Power systems continue to provide the stability you count on, while PowerVS gives you the headroom to experiment and deliver AI at the speed your business expects. It’s growth without disruption - a way to scale AI on Power, on your terms.
AI success is not just about smarter models. It’s about having infrastructure that can keep pace. With IBM PowerVS, you can scale AI on Power9, Power10, or Power11 without starting from scratch and adjust capacity up or down to stay on budget.
Too many AI strategies stall out before they get anywhere. PowerVS keeps you on the road -steady when you need reliability, fast when you need to accelerate. It is the practical way to move at AI’s speed while staying on the foundation you already trust with Power.
At Koltiv, we help IBM Power clients map the right route forward. Ready to put AI on your roadmap? Let’s plan your next step together.
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