Hewlett Packard Enterprise (HPE) has launched HPE Private Cloud AI, enabling businesses to deploy generative AI applications, such as virtual assistants, in seconds. Co-developed with NVIDIA, the platform includes solution accelerators that simplify AI deployment, offering modular, low-code applications tailored for various industries. Additionally, HPE’s Unleash AI partner program connects customers with a rich ecosystem of AI partners to further enhance AI adoption.
Analyst: Steven Dickens & Ron Westfall
Publication Date: September 9, 2024
Document #: MCNSDRW202409
What is Covered in this Article
- HPE Private Cloud AI, co-developed with NVIDIA, enables businesses to deploy generative AI applications such as virtual assistants in seconds.
- Solution accelerators simplify AI application deployment with low-code, modular tools tailored to specific industry needs.
- The platform provides end-to-end security with enterprise guardrails and data isolation, ensuring safe AI deployment.
- HPE’s Unleash AI partner program connects businesses with software providers and integrators to accelerate AI adoption across various sectors.
The News: Hewlett Packard Enterprise (HPE) has launched HPE Private Cloud AI, a platform co-developed with NVIDIA that allows businesses to deploy generative AI applications, such as virtual assistants, in seconds. The platform introduces solution accelerators, offering low-code and customizable AI tools for various industries, reducing the time and complexity of AI deployment. HPE also announced the Unleash AI partner program, which connects customers with software providers and integrators to further streamline AI adoption.
How Does HPE Private Cloud AI Enable One-Click Deployment of GenAI Assistants?
Analyst Take: The latest announcement from HPE marks a significant step forward in the application of generative AI (GenAI) within private cloud environments. With the introduction of HPE Private Cloud AI, businesses can now deploy AI-powered virtual assistants and other generative AI applications in mere seconds. This breakthrough, unveiled on September 5, 2024, highlights HPE’s collaboration with NVIDIA, which continues to solidify HPE’s presence as a leader in hybrid cloud and AI infrastructure.
AI in Private Cloud: A Turnkey Solution for Businesses
HPE Private Cloud AI offers a cloud-based experience designed to simplify the often-complex processes associated with deploying AI applications. Businesses of all sizes can leverage this platform to build and operationalize AI solutions rapidly. Co-developed with NVIDIA, HPE Private Cloud AI is part of the broader NVIDIA AI Computing by HPE portfolio, a suite designed to help organizations harness AI capabilities, improve business outcomes, and remain competitive in an increasingly AI-driven landscape.
This announcement is particularly timely. Enterprises today are under significant pressure to rapidly deploy AI solutions, especially in the realm of GenAI, where the ability to create real-time, valuable output from private data is a critical differentiator. However, deploying AI applications often requires assembling a complex set of models, datasets, tools, and IT infrastructure. The new solution accelerators within HPE Private Cloud AI help alleviate these challenges, reducing the timeline for AI deployment from months to seconds, transforming how businesses adopt and scale AI.
One-Click GenAI Assistants: Real-Time AI Deployment
A core feature of this new offering is the ability to launch GenAI virtual assistants in just one click. These assistants are powered by large language models (LLMs), with the capacity to answer natural language questions based on an organization’s private data. By making it easy to deploy AI-powered chatbots and other virtual assistants, HPE is empowering businesses to automate customer interactions, enhance internal operations, and accelerate workflows.
The implications for this technology are vast. From sales quote generation to tech support and marketing content creation, these AI applications can be tailored to meet the unique needs of any enterprise. The first solution accelerator, available today, is designed to make it easier for developers to build chatbots capable of answering questions in a highly interactive manner. With built-in support for natural language processing, these chatbots are poised to improve the customer and employee experience by delivering accurate, timely information derived from proprietary data sources.
What’s more, the next iteration of these virtual assistants promises even greater capabilities, including support for voice recognition, image processing, and multi-agent functionality. These enhancements will make it possible for businesses to develop even more sophisticated AI applications, capable of handling complex tasks such as content generation, digital twin augmentation, and multi-task execution.
Accelerating AI Adoption with Solution Accelerators
The introduction of solution accelerators is one of the key differentiators within HPE Private Cloud AI. These accelerators are customizable, modular, low-code, or no-code applications designed to help businesses rapidly implement AI solutions without needing deep expertise in AI infrastructure. By leveraging NVIDIA NIM microservices, HPE enables enterprises to shorten the time-to-value for AI applications, allowing them to quickly extract meaningful insights and operational benefits from their AI deployments.
The real advantage here is in the simplicity and repeatability of these accelerators. Instead of requiring businesses to acquire new skills and integrate complex workloads across disparate systems, HPE’s solution accelerators streamline the process. With pre-configured integrations for agents, vector databases, data warehouses, and AI models, businesses can bypass many of the traditional bottlenecks in AI deployment.
Additionally, the solution accelerators are designed with security in mind. Running in HPE’s Private Cloud AI environment, managed through the HPE GreenLake cloud, these accelerators come with enterprise guardrails and data isolation capabilities, ensuring that sensitive information remains secure throughout the AI lifecycle.
Tailored AI for Industry-Specific Use Cases
One of the most interesting aspects of HPE’s announcement is the promise of industry-specific AI applications. The solution accelerators will be tailored to meet the needs of verticals such as financial services, healthcare, retail, energy, and the public sector, providing highly relevant AI tools to solve industry-specific challenges.
For example, financial services firms could deploy AI applications that automate fraud detection and regulatory compliance, while healthcare organizations could use AI to improve patient care by offering real-time insights from medical data. Retailers could leverage AI to enhance customer experience, using virtual assistants to provide personalized product recommendations and streamline operations. By creating these vertical-specific solutions, HPE and NVIDIA are setting the stage for widespread AI adoption across various sectors.
Unleash AI Partner Program: Expanding the AI Ecosystem
To further drive AI adoption, HPE also announced the Unleash AI partner program as part of its broader Partner Ready Technology Partner Program. This new initiative is designed to foster a robust ecosystem of software providers, system integrators, and service providers who can help businesses design, implement, and manage AI solutions across the full technology stack.
By collaborating with a wide range of partners, HPE is ensuring that businesses have access to a curated, pre-validated portfolio of AI solutions. This program will also benefit from HPE’s expansive go-to-market reach, making it easier for businesses to find the right AI tools and services for their specific needs. Importantly, the Unleash AI partner program will feature NVIDIA NIM Agent Blueprints, reference AI use cases that businesses can continuously refine and improve through human feedback.
By providing customizable, pre-trained workflows that can be easily tailored and deployed, we find that NVIDIA NIM Agent Blueprints are ready to assist businesses in overcoming many of the traditional challenges associated with AI development and adoption. Specifically, the Digital Human Blueprint provides tools for creating 3D animated avatars to serve as AI-driven customer service agents.
Also, the Generative Virtual Screening Blueprint accelerates identifying and optimizing drug molecules through AI-driven virtual screening. It integrates NVIDIA NIM microservices such as AlphaFold2 and MolMIM to predict 3D protein structures and perform molecular docking. The Multimodal PDF Data Extraction Blueprint enables enterprises to unlock valuable insights from vast amounts of PDF data.
The Path Forward for AI in the Enterprise
HPE’s latest announcement reflects a growing trend in the enterprise IT landscape: the increasing demand for accelerated scalable AI solutions. As businesses continue to adopt AI at a rapid pace, the ability to deploy these solutions quickly, securely, and efficiently will be a key differentiator.
By offering turnkey AI applications, customizable solution accelerators, and a robust partner ecosystem, HPE is positioning itself at the forefront of enterprise AI adoption. The combination of HPE’s hybrid cloud expertise with NVIDIA’s cutting-edge AI technology promises to help businesses unlock new levels of innovation and operational efficiency.
With the introduction of HPE Private Cloud AI, HPE has laid the foundation for the next phase of enterprise AI—one where businesses can build, deploy, and refine AI applications in real time, unlocking the full potential of their data and driving meaningful, lasting outcomes.
See the complete announcement on HPE’s website.
Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.
Other insights from The Futurum Group:
HPE Infuses GenAI LLMs to Uplift HPE Aruba Networking Central AIOps
Unlocking AI Potential: How HPE Private Cloud AI Accelerates AI Deployment and Innovation
HPE Unveils NVIDIA AI Computing by HPE: Enterprise AI Ascends
Author Information
Regarded as a luminary at the intersection of technology and business transformation, Steven Dickens is the Vice President and Practice Leader for Hybrid Cloud, Infrastructure, and Operations at The Futurum Group. With a distinguished track record as a Forbes contributor and a ranking among the Top 10 Analysts by ARInsights, Steven's unique vantage point enables him to chart the nexus between emergent technologies and disruptive innovation, offering unparalleled insights for global enterprises.
Steven's expertise spans a broad spectrum of technologies that drive modern enterprises. Notable among these are open source, hybrid cloud, mission-critical infrastructure, cryptocurrencies, blockchain, and FinTech innovation. His work is foundational in aligning the strategic imperatives of C-suite executives with the practical needs of end users and technology practitioners, serving as a catalyst for optimizing the return on technology investments.
Over the years, Steven has been an integral part of industry behemoths including Broadcom, Hewlett Packard Enterprise (HPE), and IBM. His exceptional ability to pioneer multi-hundred-million-dollar products and to lead global sales teams with revenues in the same echelon has consistently demonstrated his capability for high-impact leadership.
Steven serves as a thought leader in various technology consortiums. He was a founding board member and former Chairperson of the Open Mainframe Project, under the aegis of the Linux Foundation. His role as a Board Advisor continues to shape the advocacy for open source implementations of mainframe technologies.
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.
