Hewlett Packard Enterprise, NVIDIA announce new AI solutions to enhance enterprise performance

NVIDIA and Hewlett Packard Enterprise (HPE) have announced the introduction of new enterprise Artificial Intelligence (AI) solutions designed to enhance performance and efficiency for businesses deploying AI technologies. The collaboration aims to streamline the development, training, and deployment of generative, agentic, and physical AI models.

According to HPE President and CEO Antonio Neri, the new offerings are essential for enterprises looking to adopt AI at scale, providing integrated solutions that reduce time to value and enhance productivity. Jensen Huang, NVIDIA's founder and CEO, noted that the partnership delivers the infrastructure needed for companies to create and implement AI solutions across various industries.

The HPE Private Cloud AI solution features a turnkey architecture optimized for AI applications, integrating NVIDIA's AI Data Platform to facilitate data processing and model training. The collaboration is set to assist organizations of all sizes by ensuring effective training, tuning, and inferencing capabilities for their AI applications.

HPE has also introduced enhancements to its AI environment, including the new HPE Private Cloud AI developer system, which provides an instant development environment capable of supporting various AI workloads. This system incorporates NVIDIA's accelerated computing and AI software.

Notably, the latest AI servers from HPE will utilize NVIDIA's Blackwell architecture, offering deployment options that support a wide range of AI model applications. Specific server models, such as the HPE ProLiant Compute DL384b and DL380a Gen12, will target complex workloads related to AI inference and training.

Additionally, HPE's focus on enhancing security measures includes utilizing the company's silicon root of trust technology within its ProLiant servers, aligning with industry standards for protecting against firmware attacks.

The new AI solutions are expected to be available in stages throughout 2025, with immediate access to HPE OpsRamp Graphics Processing Unit (GPU) optimization capabilities designed to manage AI workloads efficiently across hybrid infrastructures.