VeeamSoftware, the Data and AI Trust Company, announced an expanded joint innovation with HPE to help organizations modernize and scale private cloud—from AI-ready infrastructure and validated designs to repeatable, partner-ready packaging for faster deployments. The announcement was made at HPE Discover.
Building on the companies’ alliance and the Data Resilience by Design—a framework that makes resilience the foundation for secure, governed, and recoverable data—Veeam and HPE are advancing new capabilities focused on accelerating private cloud adoption with simpler architectures, safer AI data pipelines, and faster time-to-value, according to the companies.
“Private cloud is evolving fast as customers want cloud agility with greater control, stronger governance, and the ability to operationalize AI closer to their data,” said John Jester, chief revenue officer (CRO) at Veeam. “AI will transform the enterprise, but only if leaders can trust the data that powers it. That trust starts with resilience—knowing data is protected, recoverable, and governed end-to-end.Together with HPE, Veeam is bringing that trust layer to private clouds with validated designs and partner-ready solutions to help customers protect and govern their data, reduce risk across AI pipelines, and accelerate business outcomes without sacrificing performance or agility.”
Veeam and HPE will release new validated designs for HPE Private Cloud AI to help customers deploy secure, AI-ready private environments.HPE Private Cloud AIis a turnkey AI factory co-engineered with NVIDIA as part ofthe NVIDIA AI Computing by HPE portfolioand is designed to deliver a complete, secure AI workbench with a unified data lakehouse, deployable models, and agentic use cases.
With data sovereignty requirements expanding globally and AI ethics expectations moving from policy statements to operational mandates, organizations need practical architectures that protect data, strengthen recoverability, and improve confidence in AI data handling, the companies said.
“Enterprises are choosing private cloud to meet performance and sovereignty requirements while putting the right guardrails in place for AI,” said Patrick Osborne, SVP of technology acceleration for hybrid cloud, HPE. “With these new validated designs for HPE Private Cloud AI and our expanded collaboration with Veeam, we’re giving customers a ready-to-run path to deploy AI closer to their data, combining proven infrastructure with stronger governance and greater confidence in how AI data is prepared, handled, and protected as they move from pilots to production.”
The validated designs will include:
- Veeam Data PlatformandVeeam Kasten, both part of theVeeam DataAI Command Platform, supporting operational continuity for virtualized and Kubernetes-based workloads that power AI initiatives.
- Safe data ingestion to help organizations prepare and ingest data for AI use cases with stronger controls and confidence in data handling complementing HPE AI Essentials that manages the model development and deployment lifecycle.
These validated designs reduce deployment complexity and help customers move from AI pilots to production faster, while maintaining operational safeguards appropriate for enterprise private cloud, the companies said.
In support of HPE’s recentunified private cloud announcement, HPE and Veeam are enabling partners with sizing tools and smart templates to more easily position and deliver resilient private cloud deployments usingHPE Private Cloud PC3000with HPE Morpheus Software VM Essentials.
The goal is to help partners standardize designs, streamline scoping, and accelerate delivery so customers can expand private cloud footprints with greater predictability and reduced operational overhead with Veeam and HPE Private Cloud.
To further simplify adoption and modernization, Veeam is also providing a practical migration guide for moving vSphere VMs to virtual machines on HPE Morpheus.
The Veeam DataAI Command Platform is the industry’s first unified data and AI trust infrastructure for the agentic era. The platform unifies key domains, including DataAI Security, DataAI Governance, DataAI Compliance, DataAI Privacy, and DataAI Resilience, powered by the DataAI Command Graph—Veeam’s intelligence layer powering the entire platform which includes hundreds of connectors across every cloud, SaaS application, and on-premises environment.
Through this collaboration, Veeam and HPE will help customers move from AI experimentation to trusted execution—improving visibility and governance, reducing risk across AI data pipelines, and ensuring the ability to recover clean, trusted data when it matters most, the companies said.
For more information about this news, visit www.veeam.com.