Organizations with massive cloud and virtualized environments are turning to SSDs to address application performance gaps and improve infrastructure efficiency. However, integrating SSDs in legacy IT environments can be challenging and costly. Limitations on the number of SSDs per array can force clients to buy multiple systems, which in turn increases physical footprint, power usage and cooling expenses.
In addition, administrators are often required to move data manually between storage tiers to optimize service levels. This extremely time-intensive process increases data-center maintenance requirements, which can eliminate the performance and cost benefits that SSDs deliver.
The new all-SSD configuration for HP 3PAR P10000 Storage eliminates these issues with a single tier of solid state storage while also delivering the same industry-leading performance as the existing HP 3PAR P10000.
By supporting up to 512 SSDs per array, the all-SSD HP 3PAR system reduces equipment costs, data-center footprint and energy expenses. Client cost per input/output operations per second is reduced by 70 percent, and cost per kilowatt hour is cut by more than 80 percent, making all-SSD HP 3PAR P10000 Storage ideal for performance-driven applications.
HP 3PAR P10000 systems also allow clients to combine SSDs with traditional Fibre Channel drives and deploy HP 3PAR Adaptive Optimization software to achieve autonomic storage tiering. Adaptive Optimization distributes data to the right storage tier at the right time, reducing data-center management costs and maximizing system performance.
Only HP Converged Infrastructure integrates SSDs seamlessly across servers and storage, allowing clients to improve application performance while reducing operational complexity and cost.
The new HP Smart Cache for the HP ProLiant Generation 8 (Gen8) servers will soon be available with advanced functionality that utilizes SSDs for caching to accelerate workload performance. The solution will use HP Smart Analytics technology to intelligently assign frequently accessed “hot data” to high-performance SSD drives.
By providing workload-aware intelligence to optimize system operations, this “smart caching” capability helps clients achieve six times higher performance for transactional workloads(3) as well as 50 percent more performance for video-streaming applications, compared to previous generations.(4)
HP also is extending the functionality of HP Smart Cache within HP ProLiant Gen8 servers to a converged solution with HP 3PAR Storage solutions. This collaborative-caching capability will autonomically copy data in real time from the HP 3PAR Storage arrays to the HP Smart Array SSD cache on the HP ProLiant Gen8 server. This innovative capability enables clients to improve performance while reducing costs and latency, resulting in more agility when responding to service-level demands.
“While SSDs deliver critical performance for cloud and virtualized workloads, legacy infrastructures fail to maximize the technology’s return on investment by requiring intensive data-tiering administration,” said David Scott, Sr. VP and GM, Storage Division, HP. “The ability to intelligently automate data mobility between HP ProLiant servers and HP 3PAR systems within array tiers fully actualizes SSD performance and efficiency so clients can focus more time growing the business instead of managing the back office.”
Click here to find out more about HP 3PAR P10000 Storage
Click here to find out more about HP 3PAR Adaptive Optimization software
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 ...