HPE Private Cloud AI with NVIDIA AI Computing by HPE: Essential to Accelerating GenAI Industrial Transformation

HPE Private Cloud AI with NVIDIA AI Computing by HPE Essential to Accelerating GenAI Industrial Transformation

The adoption of Generative AI (GenAI) across enterprises is proving to be a complex and challenging process. Many organizations are finding that pilot programs and do-it-yourself (DIY) approaches can take several months to reach productivity with numerous initiatives stalling or failing to progress beyond the experimental stage. This slow pace of implementation is often due to lack of clear objectives, data quality issues, and the need for specialized skills to effectively deploy and scale AI solutions. 

Moreover, enterprises attempting to make GenAI production-ready are finding that their public cloud experiments are proving counterproductive. Not only are these initiatives failing to yield the desired results, but they are also incurring substantial expenses along the way. This dual challenge of ineffectiveness and high costs is becoming a significant concern for enterprises exploring GenAI implementations in public cloud environments.

In response to such challenges, there is a burgeoning demand for purpose-built AI solutions that directly address the unique requirements of enterprises. These solutions aim to provide easy button capabilities, streamlining the integration process and offering pre-configured tools that fully align with top priority business objectives. By adopting purpose-built solutions, enterprises can accelerate their AI adoption, reduce the risk of failed pilots, and more quickly realize the benefits of GenAI across their operations.

The Futurum Group’s latest research report, HPE Private Cloud AI with NVIDIA AI Computing by HPE: Essential to Accelerating GenAI Industrial Transformation, completed in partnership with HPE and NVIDIA, assesses why HPE Private Cloud AI directly addresses the top challenges enterprises face in adopting AI across their entire organization. HPE Private Cloud AI provides a scalable, pre-tested, and AI-optimized private cloud solution. It empowers IT and AI teams to experiment, iterate, and scale AI projects efficiently. By leveraging a comprehensive ecosystem of AI models and development tools, organizations can maintain control over costs and mitigate financial risks. Co-developed with NVIDIA, this turnkey private cloud can enable enterprises to focus on developing new AI use cases that boost productivity and unlock new revenue streams.

Key takeaways and actions items from HPE Private Cloud AI with NVIDIA AI Computing by HPE: Essential to Accelerating GenAI Industrial Transformation include how HPE delivers competitive advantages of customers in three key areas:

  • HPE Private Cloud AI merits top consideration by enterprises due to its ability to ensure that data remains private and secure by keeping it on-premises, offering multi-layered controls to protect data and models and ensuring reliability and performance. 
  • IT decision-makers should consider implementing HPE Private Cloud AI across hybrid cloud and critical workload environments to achieve a secure, AI-native network.
  • NVIDIA AI Computing by HPE leverages NVIDIA’s accelerated computing platform that ensures the analysis of large datasets through a conversational assistant, enhancing productivity in operations management. 

We believe that HPE Private Cloud AI is at the forefront of digital transformation, enhancing capabilities in AI, hybrid cloud, and mission-critical workloads. This innovative platform enables organizations to rapidly deploy GenAI applications, streamlining their operations and accelerating their journey toward AI integration.

HPE Private Cloud AI offers a flexible ecosystem of NVIDIA and HPE AI models and tools, supported by scalable and pretested infrastructure. This flexibility allows organizations to experiment with various AI projects across a diverse range of models and development tools. HPE Private Cloud AI enables the integration of custom and ISV AI tools and frameworks, allowing organizations to leverage their existing investments and expertise. By providing a solid foundation for AI initiatives, HPE Private Cloud AI enables businesses to scale their AI capabilities efficiently, adapting to evolving technological landscapes and business needs.

If you are interested in learning more, be sure to download your copy of HPE Private Cloud AI with NVIDIA AI Computing by HPE: Essential to Accelerating GenAI Industrial Transformation 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.

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