The HPE Discovery 2026 concluded just two days ago, and important initiatives were announced that significantly strengthen the 15-year partnership between Hewlett Packard Enterprise and Veeam.
As we know, many companies are moving their AI projects from the pilot phase to production.
However, capabilities and requirements related to data governance, compliance, sovereignty, security, and resilience are becoming essential. It´s necessary to ensure that AI models have access to reliable information and that confidential data remains compliant with regulatory requirements.
These challenges are directly related to the growing use of AI applications and autonomous agents interacting with enterprise data and business systems.
For all interested in this topic, I recently explored some of the governance and security challenges associated with autonomous AI systems in a separate article: Agentic AI: Managing the Autonomous Risk - CloudnRoll
At the same time, cyber threats, ransomware attacks, and data breaches have heightened the importance of resilience and rapid recovery capabilities.
Furthermore, amid these challenges, organizations are increasingly turning to private cloud infrastructure, which offers the agility of the public cloud while maintaining control over sensitive data, sovereign workloads, and compliance requirements.
New AI-Focused Private Cloud Initiative
HPE and Veeam argue that private cloud environments are becoming an increasingly attractive option for organizations seeking to deploy AI while maintaining greater control over data, governance, and compliance requirements.
A key component of this new phase of the long partnership was the announcement of validated designs for HPE Private Cloud AI, a turnkey AI platform co-engineered with NVIDIA. These detailed reference architectures will be publicly released.
These future reference architectures will be designed to provide organizations with a secure environment for developing, fine-tuning, deploying, and governing AI applications.
Based on the information publicly disclosed, the forthcoming designs are expected to be incorporated:
• HPE Private Cloud AI, co-engineered with NVIDIA.
• NVIDIA AI Computing technologies.
• Veeam Data Platform.
• Veeam Kasten for Kubernetes.
• Operational continuity capabilities for virtualized and Kubernetes-based AI workloads.
• Safe data-ingestion capabilities designed to improve confidence in AI data handling.
• Governance, resilience, and recoverability capabilities aligned with Veeam's Data and AI Trust strategy.
Data and AI Trust Maturity Model
HPE Services will serve as a pilot partner for Veeam's new Data and AI Trust Maturity Model.
This framework is intended to help organizations assess their readiness for trusted AI initiatives and identify areas for improvement.
The model evaluates organizations across four pillars: Understood, Secured, Resilient, and Unleashed.
This framework is designed to provide an objective way for organizations to benchmark progress and strengthen trust in their AI environments.
Expansion of Virtualization Support
Beyond AI, HPE and Veeam also announced initiatives to simplify private cloud deployments and modernize virtualization.
The companies are enabling partners with sizing tools, templates, and deployment guidance for HPE Private Cloud PC3000 and HPE Morpheus VM Essentials environments.
Veeam is also providing guidance for customers migrating workloads from VMware vSphere to HPE Morpheus-based environments.
The goal is to help organizations modernize infrastructure while maintaining data protection, recoverability, and operational continuity.
Strengthening Data Protection Integration
The partnership further extends integration between Veeam Data Platform and HPE storage technologies.
Veeam highlighted expanded support for HPE StoreOnce and HPE Alletra Storage MP, including enhanced snapshot capabilities, NVMe support, improved recovery performance, and additional cyber resilience features.
Veeam also indicated that additional reference architectures for end-to-end immutability across the HPE Alletra Storage MP portfolio are expected in the future.
Conclusion
The HPE Discover 2026 announcement shows HPE and Veeam expanding their relationship beyond traditional infrastructure and backup integration into AI governance and data trust.
For organizations looking to move from AI experimentation to real-world business outcomes, success will depend on more than powerful models and scalable infrastructure. It will require trust, government, and resilient data.
References
Veeam at HPE Discover 2026: AI-Ready Private Cloud