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VMware Collaborates with HP on Turnkey Virtualized Solutions

Simplifying and Accelerating Virtualized Deployments

Today at HP DISCOVER 2011, VMware announced a new collaboration with HP on turnkey solutions to simplify and accelerate virtualization for customers on the journey to cloud computing. Built on HP Converged Infrastructure, the new HP VirtualSystem solutions will be integrated, pre-tested IT infrastructure stacks delivered as appliances that will help improve business agility, lower costs and enable cloud computing for enterprise customers of all sizes.

The new appliances will include optimized, turnkey virtual infrastructure and end-user computing solutions that deliver a full compute stack consisting of server, storage, networking and services from HP and leading virtualization and cloud infrastructure and management software from VMware. Offered in three scalable deployment options that are "right-sized" for customers, HP VirtualSystem solutions with VMware technologies will enable significant savings in deployment time for customers, helping them focus on more strategic projects for their organizations.

"As the IT industry continues to shift from siloed stacks of infrastructure to resource pools that can be shared and delivered as services, customers increasingly need solutions that enable this shift simply and in an evolutionary way," says Gary Green, vice president, Global Strategic Alliances, VMware. "The new HP VirtualSystem solutions build on our strong relationship with HP and will complement customers' existing infrastructure investments while helping them prepare for cloud computing in the future."

"Organizations are looking to deploy virtualization more pervasively without the complexity that sometimes comes with the proliferation of management tools," says Paul Miller, vice president, Systems and Solutions, HP. "To help manage these complexities and simplify the path to cloud computing, HP and VMware are working closely to ensure the new HP VirtualSystem portfolio will help clients achieve rapid deployment, maximum performance and advanced management of their virtualized environments."

VMware and HP solution providers will also benefit from HP VirtualSystem solutions. The integrated solutions will enable them focus on delivering long-term value to customers through their expertise in implementing automated management processes, business continuity for critical applications and dynamic cloud capabilities.

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 ...

VMware Collaborates with HP on Turnkey Virtualized Solutions

Simplifying and Accelerating Virtualized Deployments

Today at HP DISCOVER 2011, VMware announced a new collaboration with HP on turnkey solutions to simplify and accelerate virtualization for customers on the journey to cloud computing. Built on HP Converged Infrastructure, the new HP VirtualSystem solutions will be integrated, pre-tested IT infrastructure stacks delivered as appliances that will help improve business agility, lower costs and enable cloud computing for enterprise customers of all sizes.

The new appliances will include optimized, turnkey virtual infrastructure and end-user computing solutions that deliver a full compute stack consisting of server, storage, networking and services from HP and leading virtualization and cloud infrastructure and management software from VMware. Offered in three scalable deployment options that are "right-sized" for customers, HP VirtualSystem solutions with VMware technologies will enable significant savings in deployment time for customers, helping them focus on more strategic projects for their organizations.

"As the IT industry continues to shift from siloed stacks of infrastructure to resource pools that can be shared and delivered as services, customers increasingly need solutions that enable this shift simply and in an evolutionary way," says Gary Green, vice president, Global Strategic Alliances, VMware. "The new HP VirtualSystem solutions build on our strong relationship with HP and will complement customers' existing infrastructure investments while helping them prepare for cloud computing in the future."

"Organizations are looking to deploy virtualization more pervasively without the complexity that sometimes comes with the proliferation of management tools," says Paul Miller, vice president, Systems and Solutions, HP. "To help manage these complexities and simplify the path to cloud computing, HP and VMware are working closely to ensure the new HP VirtualSystem portfolio will help clients achieve rapid deployment, maximum performance and advanced management of their virtualized environments."

VMware and HP solution providers will also benefit from HP VirtualSystem solutions. The integrated solutions will enable them focus on delivering long-term value to customers through their expertise in implementing automated management processes, business continuity for critical applications and dynamic cloud capabilities.

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 ...