
Veeam & HPE deepen partnership to boost enterprise data resilience
The new collaboration will see Veeam deliver image-based backup support for HPE Morpheus VM Essentials Software, encompassing virtual machine migration and data portability across conventional hypervisor environments. This builds on a longstanding relationship between the two companies, which seek to offer unified data protection and simplified management for customers operating in increasingly complex IT landscapes.
Supporting hybrid and private cloud
By integrating Veeam Data Platform with HPE Morpheus VM Essentials, organisations are expected to gain a more seamless solution for safeguarding key applications and data across private and hybrid cloud infrastructures. Fidelma Russo, Executive Vice President of Hybrid Cloud and Chief Technology Officer at HPE, said: "Data is an organisation's most valuable asset – and often its most vulnerable. With our deep partnership and integration, HPE and Veeam are delivering unified virtualisation and data protection that is future-ready, giving customers the resiliency and agility to evolve their hybrid IT strategy."
For customers making use of HPE Private Cloud solutions, or those with standalone servers, the solution is designed to provide unified protection across multiple hypervisors and facilitate VM mobility. Cost savings are also cited in the form of up to a 90 percent reduction in VM licence costs.
Enterprise-grade resilience
Anand Eswaran, Chief Executive Officer at Veeam, highlighted the dual pressures organisations face in managing expanding IT complexity and rising cyber risk: "Organisations face a perfect storm of IT complexity and cyber threats. Data resilience can no longer be an afterthought. Our enhanced partnership ensures organisations can deploy enterprise-grade virtualisation solutions from HPE with Veeam backup, recovery, security and intelligence for maximum data resilience that keeps businesses running."
Both companies stress that comprehensive support for modern workloads is a focal point. Veeam's Kasten solution will be available to provide backup and recovery for containerised and cloud-native workloads, complementing the broader integration with Morpheus Software and the established HPE Zerto Software offering. The solutions together allow organisations to protect not only virtual infrastructure, but also containerised and bare-metal workloads.
Data Resilience by Design
To further support enterprises, HPE and Veeam have launched a joint framework called "Data Resilience by Design". The framework is intended to empower customers to take a holistic, proactive stance towards securing and making their data highly available, through both technology and advisory services. As part of the initiative, the companies will provide HPE cybersecurity and cyber resilience transformation and readiness services, equipping organisations with a roadmap to assess, strengthen and future-proof data resilience strategies.
The scope of the framework reflects concerns about the increasing sophistication of security threats facing businesses and the need for robust protections spanning private and hybrid cloud environments. The partnership aims to address these challenges by combining HPE's expertise across hybrid IT and cybersecurity with Veeam's capabilities in backup, recovery and data intelligence.
The cooperation between HPE and Veeam also involves increased joint go-to-market investment, seeking to help customer organisations manage data protection with broader solution support and professional services.
Unified approach to resilience
With this extended partnership, both companies emphasise their focus on supporting organisations as they navigate heightened cyber risk and evolving IT demands. The aim is to enable customers to make use of private cloud environments while ensuring data remains secure, resilient and accessible. HPE and Veeam state that the combination of their technologies and expertise is designed to provide enterprises with the resources needed to manage increasingly complex operational and security landscapes.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Techday NZ
17 hours ago
- Techday NZ
HPE expands AI server range with NVIDIA Blackwell GPU solutions
Hewlett Packard Enterprise has introduced several updates to its NVIDIA AI Computing by HPE portfolio, aimed at supporting enterprise clients seeking to accelerate agentic and physical AI deployment across a variety of use cases. Server advancements Among the headline updates, HPE has confirmed it will ship new HPE ProLiant Compute servers equipped with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. This includes a new 2U RTX PRO Server form factor in the DL385 Gen11 model, as well as an 8-GPU 4U configuration with the DL380a Gen12 model. According to HPE, the DL385 Gen11 supports up to two of the Blackwell Server Edition GPUs, providing an air-cooled solution suitable for datacentres coping with increasing artificial intelligence workloads. Meanwhile, the DL380a Gen12 can accommodate up to eight GPUs in a larger form factor, with shipments scheduled to begin in September 2025. HPE highlighted that the ProLiant Compute servers are purpose-built for handling a variety of tasks, including generative and agentic AI, robotics, industrial automation, visual computing, simulation, 3D modelling, digital twins, and autonomous systems. Security features on the Gen12 models include HPE Integrated Lights Out 7 Silicon Root of Trust and a secure enclave for tamper-resistant protection and quantum-resistant firmware signing. The company states that its server management platform, HPE Compute Ops Management, can reduce IT hours spent on server management by up to 75% and lower downtime by an average of 4.8 hours per server annually. HPE has also indicated that these servers are designed to be flexible and scalable, able to support a growing range of GPU-accelerated workloads across the enterprise. AI development platform HPE Private Cloud AI, a collaborative development with NVIDIA, will incorporate support for the latest NVIDIA AI models. This includes the NVIDIA Nemotron agentic AI model, Cosmos Reason vision language model for robotics and physical AI, and the NVIDIA Blueprint for Video Search and Summarization (VSS 2.4). These additions will allow customers to build and deploy video analytics AI agents that can process extensive volumes of video data and extract actionable insights. The new release promises seamless scalability across GPU generations, air-gapped management, and enterprise multi-tenancy. Continuous integration with NVIDIA technologies will also allow HPE Private Cloud AI to deliver rapid deployment of NVIDIA NIM microservices, with access provided via HPE AI Essentials. The platform is positioned to help enterprises handle increasing AI inferencing workloads while retaining control over their data, supporting high performance and security requirements in demanding sectors. Regional and industry response "Asia Pacific is one of the fastest-growing AI markets, and enterprises face the imperative to transform ambition into results, with agility and security at the core," said Joseph Yang, General Manager, HPC, AI & NonStop, at HPE APAC and India. "With NVIDIA Blackwell GPUs in our HPE ProLiant servers and the latest NVIDIA AI models in HPE Private Cloud AI, we're enabling customers across APAC to accelerate agentic and physical AI, powering everything from advanced manufacturing to smart cities, while safeguarding data sovereignty and maximizing operational efficiency." Data sovereignty and operational efficiency were also cited as important capabilities for regional customers working in sectors such as advanced manufacturing and public infrastructure. "HPE is committed to empowering enterprises with the tools they need to succeed in the age of AI," said Cheri Williams, Senior Vice President and General Manager for Private Cloud and Flex Solutions at HPE. "Our collaboration with NVIDIA continues to push the boundaries of innovation, delivering solutions that unlock the value of generative, agentic and physical AI while addressing the unique demands of enterprise workloads. With the combination of HPE ProLiant servers and expanded capabilities in HPE Private Cloud AI, we're enabling organizations to embrace the future of AI with confidence and agility." The collaboration between HPE and NVIDIA is expected to support customers managing large-scale enterprise AI workloads, with the infrastructure designed to be as flexible and scalable as present and emerging tasks require. "Enterprises need flexible, efficient infrastructure to keep pace with the demands of modern AI," said Justin Boitano, Vice President of Enterprise AI at NVIDIA. "With NVIDIA RTX PRO 6000 Blackwell GPUs in HPE's 2U ProLiant servers, enterprises can accelerate virtually every workload on a single, unified, enterprise-ready platform." Availability The HPE ProLiant DL385 Gen11 and DL380a Gen12 servers equipped with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are currently open for orders, with first shipments expected from September 2025. HPE intends to roll out support for the newest NVIDIA AI models, the Cosmos Reason VLM, and the VSS 2.4 blueprint in HPE Private Cloud AI during the latter half of 2025. The next generation of HPE Private Cloud AI, with Blackwell GPU support, is also slated for release in the same period.


Techday NZ
2 days ago
- Techday NZ
HPE launches ProLiant servers with new NVIDIA GPUs for AI growth
HPE has announced new developments to its NVIDIA AI Computing by HPE Portfolio, focusing on improved integration with NVIDIA AI Enterprise and the introduction of updated NVIDIA AI models and blueprints to HPE Private Cloud AI. Server enhancements HPE will offer HPE ProLiant Compute servers equipped with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, introducing a 2U form factor designed to meet the rising AI demands within enterprise data centres. According to the announcement, two main server configurations will be available. The HPE ProLiant DL385 Gen11 server supports up to two NVIDIA RTX PRO 6000 Blackwell GPUs in the new 2U form factor. The HPE ProLiant Compute DL380a Gen12 server supports up to eight NVIDIA RTX PRO 6000 GPUs in a 4U form factor and is scheduled to ship in September. These servers are intended to support diverse workloads, from generative and agentic AI to physical AI use cases, which include robotics, industrial automation, visual computing, and simulation. HPE highlights that its Gen12 ProLiant Compute servers employ multi-layered security, using HPE Integrated Lights Out (iLO) 7 Silicon Root of Trust and a secure enclave to deliver tamper-resistant protection and quantum-resistant firmware signing. Lifecycle automation is managed through HPE Compute Ops Management, which, the company states, can reduce IT hours for server management by up to 75% and decrease downtime by an average of 4.8 hours per server annually. The servers are positioned to address escalating enterprise requirements for GPU-accelerated compute power, offering flexibility to innovate and enhance productivity, security, and operational efficiency across enterprise operations. Private cloud AI advancements The company recently shared details about the upcoming generation of HPE Private Cloud AI, expected to be released later in the year. This expansion supports NVIDIA RTX PRO 6000 GPUs, enables scalability across GPU generations, and provides features like air-gapped management and enterprise multi-tenancy. HPE Private Cloud AI, co-developed with NVIDIA, will add support for the latest NVIDIA Nemotron models for agentic AI, Cosmos Reason vision language model for physical AI and robotics, and NVIDIA's Blueprint for Video Search and Summarisation (VSS 2.4). These features are designed to assist customers in building video analytics AI agents capable of analysing large volumes of video data for valuable insights. The company emphasises the continuous co-development between HPE and NVIDIA in order to facilitate the fastest deployment of NVIDIA NIM microservices for the latest AI models and blueprints. Customers can access these features via HPE AI Essentials. The overall aim is to provide enterprises with the infrastructure needed to address increasing demand for AI inferencing and accelerate the production of AI solutions, while ensuring data control and high-performance operation. Industry perspectives "HPE is committed to empowering enterprises with the tools they need to succeed in the age of AI," said Cheri Williams, Senior Vice President and General Manager for Private Cloud and Flex Solutions at HPE. "Our collaboration with NVIDIA continues to push the boundaries of innovation, delivering solutions that unlock the value of generative, agentic and physical AI while addressing the unique demands of enterprise workloads. With the combination of HPE ProLiant servers and expanded capabilities in HPE Private Cloud AI, we're enabling organisations to embrace the future of AI with confidence and agility." Justin Boitano, Vice President of Enterprise AI at NVIDIA, commented on the server integration, stating: "Enterprises need flexible, efficient infrastructure to keep pace with the demands of modern AI." "With NVIDIA RTX PRO 6000 Blackwell GPUs in HPE's 2U ProLiant servers, enterprises can accelerate virtually every workload on a single, unified, enterprise-ready platform." Release schedule The HPE ProLiant DL385 Gen11 and HPE ProLiant Compute DL380a Gen12 servers featuring NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are available to order now, with shipping scheduled to begin globally in September 2025. Support for NVIDIA Nemotron models, Cosmos Reason, and NVIDIA VSS 2.4 Blueprint within HPE Private Cloud AI is planned for the second half of 2025. The latest generation of HPE Private Cloud AI with RTX PRO 6000 Blackwell GPUs will also be available in the latter part of the year.


Techday NZ
10-07-2025
- Techday NZ
Organisations urged to boost data resilience as AI adoption rises
Industry experts have emphasised the importance of data resilience as organisations accelerate their use of artificial intelligence (AI) across increasingly complex digital environments. The growing implementation of AI technologies has introduced new challenges in data architecture, prompting concerns about whether data security measures are keeping pace with rapid innovation. Adapting data protection for AI Ben Young, Field CTO APJ at Veeam, highlighted the transformative effect of AI on business data systems, stating that these changes demand urgent attention to backup processes and security protocols. On AI Appreciation Day, it is worth pausing to consider not just what AI can do but also the challenges it creates. AI is fundamentally reshaping enterprise data architecture, introducing new and often distributed compute environments, training datasets, and workflows that did not exist even two years ago. But in the rush to innovate, many businesses are forgetting to ask two critical questions: Young elaborated further, asking, "Is any of this backed up? Are the backups protected and secure?" Young referred to the findings of Veeam's 2025 Ransomware Trends and Proactive Strategies Report, which revealed that nine out of ten organisations globally had their backup repositories targeted by threat actors in the past year. He stated this points to a clear need for backups that are both secure and immutable. "This means data not only needs to be backed up; those backups need to be secure and immutable to ensure full protection," he said. Young also observed that many organisations are moving AI training workloads to the public cloud without proportionate data protection strategies. He cautioned that a reliance on as-a-service infrastructure could create a false sense of security against increasingly sophisticated threats. "At Veeam, we see organisations deploying AI training workloads in the public cloud, sometimes for the first time, without mature data protection strategies in place." "There is an assumption that as-a-service infrastructure is inherently secure, but in reality, protecting AI requires consideration of an increasingly complex data environment. That means safeguarding model outputs, ensuring rapid restore capabilities, and maintaining visibility into where data is stored, especially as markets in APJ develop strict data sovereignty regulations," Young added. "AI may be intelligent, but resilience still requires human foresight. Innovation without protection is a risk no enterprise can afford to take." AI as a resilience enabler David Allott, Field CISO APJ at Veeam, presented a complementary perspective, suggesting that recent debates tend to focus heavily on AI's threats while overlooking how AI can advance data resilience and cyber protection. On AI Appreciation Day, most conversations focus on the risks AI introduces. But in cybersecurity, we are overlooking a bigger opportunity: AI is also helping us rethink how we defend and recover. Allott described how AI is changing the way organisations manage data security, helping businesses move from reactive defence to more proactive approaches. He said, "AI is enabling security leaders across APJ move from reactive defence to proactive resilience. At Veeam, we are integrating AI to help businesses better understand and protect their data. It is not just about knowing where it is stored, but understanding what it contains, who has access, and whether it is subject to compliance issues or exfiltration risk." He addressed the visibility challenges faced by companies operating hybrid-cloud and mixed infrastructure systems, and outlined AI's role in resolving these complexities. "As companies adopt hybrid-cloud models and operate across legacy and modern infrastructure, this visibility becomes harder to achieve. AI cuts through the complexity by identifying anomalies faster, identifying misconfigurations before they become vulnerabilities, and aligning backup strategies with actual data value." Allott cautioned that while AI is not a solution to all security issues, it provides significant context and operational insight. "While AI is not a silver bullet for security, it is a tool that delivers clarity and context on how to be more resilient. For example, Veeam enables AI directly into platforms to assist with threat diagnostics and intelligent support for backup admins. Tools like VeeamONE deliver AI-powered threat detection, while Recon Scanner (a feature of Veeam Data Platform) helps identify risks before they escalate. This ensures organisations can protect the right data in the right way before threats emerge." Industry observers point out that as enterprises in the Asia-Pacific and Japan region continue to integrate AI technologies, the focus on robust backup, security, and compliance strategies will only grow in significance.