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HP Expands Converged Cloud Portfolio with Optimized Solutions for VMware vCloud Suite

HP is expanding its HP Converged Cloud portfolio with new solutions for VMware vCloud Suite 5.1, enabling clients to transform traditional virtualization deployments into open private and hybrid cloud environments with less risk and complexity.

Introduced in April, HP Converged Cloud extends the power of the cloud across infrastructure, applications and information to provide clients with choice, confidence and consistency. As the industry’s first strategy and portfolio based on a single open architecture, HP Converged Cloud enables the integration of any combination of private, managed and public cloud, as well as traditional IT. This combination provides workload portability as well as dynamic scaling.

The expanded HP Converged Cloud portfolio, built on HP Converged Infrastructure and HP Converged Management and Security, has been optimized for VMware vCloud Suite 5.1, and includes new capabilities that enable clients to:

- Reduce complexity and accelerate building and managing cloud with preintegrated solutions.

- Fast-track cloud adoption with comprehensive security and compliance controls that can be automatically applied to virtual machines.

- Decrease the risk of data loss with automated policy-based data protection.

“As organizations move from a virtualized environment to a private or hybrid cloud, they may face significant challenges with security, performance and the management of multiple, heterogeneous computing models,” said Stephen DeWitt, Sr. VP, HP Enterprise Group. “Extending HP Converged Cloud with comprehensive, integrated solutions for VMware vCloud Suite 5.1 enables clients to embrace secure cloud computing with less risk and greater choice.”

“With VMware vCloud Suite 5.1, organizations will have reliable, flexible cloud solutions that enhance business agility while also addressing individual enterprise needs quickly and efficiently,” said Raghu Raghuram, EVP, Cloud Infrastructure and Management, VMware. “VMware vCloud Suite 5.1 and HP Converged Cloud solutions will enable our joint customers to accelerate their journey to the cloud, giving enterprises a proven, integrated solution that provides a competitive edge in a rapidly evolving market.”

The expanded HP Converged Cloud offerings include the integration of VMware vCloud Suite 5.1 with HP CloudSystem, helping clients rapidly transform virtualized resources into self-service private and hybrid cloud environments. To accelerate time to value, HP offers customers preintegrated cloud solutions.

Combined with VMware vCloud Suite 5.1, HP CloudSystem doubles virtual-machine density, reduces network complexity and provides flexibility to support any workload.

New HP CloudSystem capabilities integrated with the VMware vCloud Suite 5.1 include:

- HP CloudSystem optimized for VMware—provides faster time to revenue with preintegrated solutions that include HP Converged Infrastructure and cloud management from HP and VMware.

- Auto-flexing feature—reduces response time to business requests and improves overall service levels by enabling VMware administrators to provision hardware for vCloud Director to automate the scaling of converged infrastructure. With this technology, customers can cut the time required to add a virtual host from four hours to 15 minutes.

- Virtual-machine importing—simplifies clients’ path to the cloud by easily importing running virtual machines into an HP CloudSystem without downtime or reconfiguration.

- HP Cloud Maps for VMware—accelerates the design of cloud services and automates the deployment of virtual applications using prepackaged, optimized HP CloudSystem templates.

Select expanded HP Converged Cloud solutions are available now through HP and its worldwide channel partners; the remaining solutions are expected by the end of the calendar year. HP also will offer all VMware vCloud Suite editions with HP Converged Cloud solutions through HP sales and channel partners in late third calendar quarter.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

HP Expands Converged Cloud Portfolio with Optimized Solutions for VMware vCloud Suite

HP is expanding its HP Converged Cloud portfolio with new solutions for VMware vCloud Suite 5.1, enabling clients to transform traditional virtualization deployments into open private and hybrid cloud environments with less risk and complexity.

Introduced in April, HP Converged Cloud extends the power of the cloud across infrastructure, applications and information to provide clients with choice, confidence and consistency. As the industry’s first strategy and portfolio based on a single open architecture, HP Converged Cloud enables the integration of any combination of private, managed and public cloud, as well as traditional IT. This combination provides workload portability as well as dynamic scaling.

The expanded HP Converged Cloud portfolio, built on HP Converged Infrastructure and HP Converged Management and Security, has been optimized for VMware vCloud Suite 5.1, and includes new capabilities that enable clients to:

- Reduce complexity and accelerate building and managing cloud with preintegrated solutions.

- Fast-track cloud adoption with comprehensive security and compliance controls that can be automatically applied to virtual machines.

- Decrease the risk of data loss with automated policy-based data protection.

“As organizations move from a virtualized environment to a private or hybrid cloud, they may face significant challenges with security, performance and the management of multiple, heterogeneous computing models,” said Stephen DeWitt, Sr. VP, HP Enterprise Group. “Extending HP Converged Cloud with comprehensive, integrated solutions for VMware vCloud Suite 5.1 enables clients to embrace secure cloud computing with less risk and greater choice.”

“With VMware vCloud Suite 5.1, organizations will have reliable, flexible cloud solutions that enhance business agility while also addressing individual enterprise needs quickly and efficiently,” said Raghu Raghuram, EVP, Cloud Infrastructure and Management, VMware. “VMware vCloud Suite 5.1 and HP Converged Cloud solutions will enable our joint customers to accelerate their journey to the cloud, giving enterprises a proven, integrated solution that provides a competitive edge in a rapidly evolving market.”

The expanded HP Converged Cloud offerings include the integration of VMware vCloud Suite 5.1 with HP CloudSystem, helping clients rapidly transform virtualized resources into self-service private and hybrid cloud environments. To accelerate time to value, HP offers customers preintegrated cloud solutions.

Combined with VMware vCloud Suite 5.1, HP CloudSystem doubles virtual-machine density, reduces network complexity and provides flexibility to support any workload.

New HP CloudSystem capabilities integrated with the VMware vCloud Suite 5.1 include:

- HP CloudSystem optimized for VMware—provides faster time to revenue with preintegrated solutions that include HP Converged Infrastructure and cloud management from HP and VMware.

- Auto-flexing feature—reduces response time to business requests and improves overall service levels by enabling VMware administrators to provision hardware for vCloud Director to automate the scaling of converged infrastructure. With this technology, customers can cut the time required to add a virtual host from four hours to 15 minutes.

- Virtual-machine importing—simplifies clients’ path to the cloud by easily importing running virtual machines into an HP CloudSystem without downtime or reconfiguration.

- HP Cloud Maps for VMware—accelerates the design of cloud services and automates the deployment of virtual applications using prepackaged, optimized HP CloudSystem templates.

Select expanded HP Converged Cloud solutions are available now through HP and its worldwide channel partners; the remaining solutions are expected by the end of the calendar year. HP also will offer all VMware vCloud Suite editions with HP Converged Cloud solutions through HP sales and channel partners in late third calendar quarter.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...