Artificial intelligence (AI) is revolutionizing businesses by enabling predictive analytics, personalized customer experiences, and process automation. While public cloud platforms offer an accessible way to deploy AI solutions, they may not always provide the necessary control, security, and customization. As enterprises increasingly rely on AI for mission-critical operations, private cloud solutions are emerging as a more secure and flexible alternative. However, organizations must decide whether to build their own private cloud or leverage a commercial solution—a choice influenced by budget, technical expertise, and long-term strategic goals.
Building a private cloud independently may seem appealing, but it comes with significant challenges, including high upfront costs, complex data management, security risks, and scalability concerns. The hidden expenses of maintaining a DIY cloud—such as infrastructure upkeep, data security, and AI model updates—can outweigh the perceived benefits. Additionally, ensuring a secure and efficient AI environment requires constant monitoring, specialized IT teams, and compliance management, which can divert resources from core business activities. Given these obstacles, a commercial private cloud solution can often provide a more seamless and cost-effective approach.
The Futurum Group’s latest brief, Unlocking the Power of Private Cloud With NVIDIA AI Computing by HPE: A Smarter Approach, completed in partnership with HPE and NVIDIA, delves into HPE’s Private Cloud AI, which offers enterprises a turnkey solution that eliminates the complexities of a DIY approach while accelerating AI adoption.
Key takeaways and actions items from Unlocking the Power of Private Cloud With NVIDIA AI Computing by HPE: A Smarter Approach include:
- Challenges of DIY Private Cloud for AI – Building and maintaining a private cloud for AI is complex and costly. Organizations face hidden expenses, data management difficulties, security risks, and scalability challenges that often outweigh the benefits of a DIY approach. Maintaining security, updating infrastructure, and managing AI workloads require significant ongoing investments in expertise and resources.
- Advantages of HPE Private Cloud AI – HPE Private Cloud AI provides a turnkey solution that integrates hardware, software, security, and AI tools, enabling rapid deployment and seamless scaling. It accelerates AI implementation, reduces operational overhead, and ensures continuous software updates, security, and compliance, making it a more efficient and cost-effective alternative to DIY solutions.
- Strategic Business Benefits of HPE PCAI – HPE’s partnership with NVIDIA, its flexible and modular approach, and its enterprise-grade security provide organizations with a competitive edge. The solution supports diverse AI workloads, ensures data privacy, and enhances operational efficiency, making it a strategic choice for enterprises looking to leverage AI at scale while maintaining control and compliance.
If you are interested in learning more, be sure to download your copy of Unlocking the Power of Private Cloud With NVIDIA AI Computing by HPE: A Smarter Approach today.
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Author Information
Nick is VP and Practice Lead for AI at The Futurum Group. Nick is a thought leader on the development, deployment and adoption of AI - an area he has been researching for 25 years. Prior to Futurum, Nick was a Managing Analyst with S&P Global Market Intelligence, with responsibility for 451 Research’s coverage of Data, AI, Analytics, Information Security and Risk. Nick became part of S&P Global through its 2019 acquisition of 451 Research, a pioneering analyst firm Nick co-founded in 1999. He is a sought-after speaker and advisor, known for his expertise in the drivers of AI adoption, industry use cases, and the infrastructure behind its development and deployment. Nick also spent three years as a product marketing lead at Recommind (now part of OpenText), a machine learning-driven eDiscovery software company. Nick is based in London.
Ron is an experienced, customer-focused research expert and analyst, with over 20 years of experience in the digital and IT transformation markets, working with businesses to drive consistent revenue and sales growth.
He is a recognized authority at tracking the evolution of and identifying the key disruptive trends within the service enablement ecosystem, including a wide range of topics across software and services, infrastructure, 5G communications, Internet of Things (IoT), Artificial Intelligence (AI), analytics, security, cloud computing, revenue management, and regulatory issues.
Prior to his work with The Futurum Group, Ron worked with GlobalData Technology creating syndicated and custom research across a wide variety of technical fields. His work with Current Analysis focused on the broadband and service provider infrastructure markets.
Ron holds a Master of Arts in Public Policy from University of Nevada — Las Vegas and a Bachelor of Arts in political science/government from William and Mary.