Hewlett Packard Enterprise (HPE) has launched Private Cloud AI, a solution designed to optimize and automate the use of artificial intelligence (AI) applications, including new solution accelerators to facilitate this process. Developed in collaboration with NVIDIA, the solution offers an all-in-one private cloud platform that allows companies of different sizes to deploy generative AI (GenAI) applications.

“Organizations are challenged to deploy generative AI in an environment where fast, tangible results are demanded,” said Fidelma Russo, executive vice president and CTO, HPE. «However, this process involves integrating multiple components such as models, data and tools. “Private Cloud AI solution accelerators make it possible to drastically shorten implementation times, going from months to minutes.”

This is HPE Private Cloud AI

The first accelerator now available is a virtual assistant based on generative AI that allows developers to create personalized chatbots in an agile way, taking advantage of the company’s private data and open language models (LLMs). This assistant can be used for different purposes, such as technical support, sales or marketing, and will soon support new capabilities such as voice and image recognition, as well as the simultaneous management of multiple agents.

The company also plans to introduce future solution accelerators designed for specific sectors such as finance, healthcare, retail and public administration. Some of these accelerators will be based on NVIDIA NIM Agent Blueprints, which allow companies to continually adjust their applications based on data and feedback received.

“Enterprises demand AI tools that fit their unique needs,” said Justin Boitano, vice president of enterprise AI software products at NVIDIA. “NVIDIA NIM Agent Blueprints improve applications developed with HPE Private Cloud AI through a continuous learning cycle based on human feedback.”

These accelerators are modular, low- or no-code solutions that leverage NVIDIA NIM microservices, allowing businesses to deploy AI applications more efficiently. Run on Private Cloud AI and managed through the GreenLake cloud, these solutions ensure high protection with enterprise controls and data isolation to ensure security.