Businesses looking for a cloud solution have historically had just two options: go the time-
consuming route of building it themselves or weigh security and compliance concerns against
the easy implementation of public cloud. Now there’s a third option. HPE Private Cloud AI
solves the negatives of both conventional routes and offers the speed, easy scalability, and cost
efficiency of public cloud in a secure, on-prem solution.
Traditional benefits and challenges of public cloud and DIY
Part of the attractiveness of self-built cloud infrastructure is the ability to completely control
security and compliance, because the data remains within your four walls. That data locality
helps to ensure strong and consistent performance, an increasingly important benefit in the age
of AI. Plus, by building your cloud your way, you can make customizations whenever they’re
needed.
But DIY takes time, often a long time. Downstream outputs and results have a slow time-to-
market when you build it yourself. Then there’s the financial aspect. Justification for the
significant capex costs to deploy an internal cloud infrastructure are complicated by the risk of
underutilization. If you use only a fraction of the capabilities you built, you could waste a lot of
money over time.
On the flip side, public cloud is a fast choice. Deployments are quick, with almost immediate
access to cutting-edge tools and services. Bursts in consumption, whether driven by business
cycles, seasons, or something else, are easily supported with public cloud’s highly scalable
architecture, ensuring workflows continue without interruption.
However, the need to move data to the cloud for use with all those innovative tools is a
drawback, one that’s quite time-consuming to work through if everything is currently on-prem.
Security and compliance concerns can also create problems, particularly for organizations that
store or process sensitive data or that operate under one or more regulatory frameworks. The
potential for cost volatility and a lack of easy customization further complicate the use of public
cloud.
HPE Private Cloud AI puts fast cloud infrastructure on your premises
Developed in partnership with Nvidia, HPE’s new offering puts cloud hardware at the
customer’s location, whether that’s your own data center or a colocation facility. Your data sits right next to the latest, most powerful tools for optimal performance. This turnkey solution also delivers full-stack capabilities, including hardware, storage, and all of the high-bandwidth network switches you need.
Implementation time for HPE Private Cloud AI is so fast that HPE estimates customers save seven to 12 months versus building it themselves. System administrators appreciate this out-of-the-box integrated platform because they can simply monitor the infrastructure and assign access for the consumers of the tools—the data engineers, data analysts, data scientists, and others. Users like that they don’t need to have familiarity with any of these tools or worry about the underlying infrastructure’s details. Everyone can just start working without all the traditional ramp-up time.
Cost control for modern needs
Just like public cloud offerings, customers only pay for their consumption on HPE Private Cloud
AI hardware. If your business consumes more than your monthly commit of resources, you pay
for the additional usage. You can even burst above your commit for a few months and then go
back down. Because HPE Private Cloud AI is part of the HPE GreenLake portfolio, you don’t
need to worry about hardware constraints slowing you down. If you continue to consume more
resources, HPE will send more hardware onsite to expand your infrastructure. You get the
predictable costs of DIY even as you accelerate AI adoption.
A secure and compliant solution for your AI initiatives
In a recent HPE survey, 58% of IT leaders who opted to build their own AI models said that
keeping private data safe was their top reason for doing so. For companies with security and
compliance concerns, HPE Private Cloud AI provides a seamless solution that keeps you in
command. The entire AI ecosystem becomes part of your own network, enabling IT to continue
using the procedures, monitoring software, and other tools you already have in place to secure
the environment.
Accelerate your AI strategy with HPE Private Cloud AI
Enterprises that are still in the early stages of exploring AI are among the top use cases for HPE
Private Cloud AI. We’re excited that the solution has a low barrier and a fast time to
implementation, ensuring that forward-looking businesses can quickly begin to pull value from
all of the data that’s available to them. Whether it’s generative or agentic AI solutions, HPE
Private Cloud AI can get you started without the time and financial commitments of DIY or the
security and compliance worries that come with public cloud. CyberNorth has worked with HPE
on multiple HPE GreenLake deployments, and we can help you navigate the HPE Private Cloud
AI implementation that fits your organization’s needs.
