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Condusiv Announces V-locity 6.0

Condusiv Technologies announced the release of V-locity 6.0, featuring Condusiv's patented IntelliMemory server-side DRAM read caching engine that is now 3X faster than the previous version due to a behavioral analytics engine that focuses on "caching effectiveness" instead of "cache hits."

V-locity 6.0 is I/O reduction software for virtualized environments that delivers as much as 600% or more faster application performance without any additional hardware.

"Typically, when a vendor is into the 6th generation of any technology, performance enhancement is incremental in nature. That status quo couldn't be further from the truth as we just released the highest performing product in the 33-year history of the company that boasts 3X faster caching than the previous version of V-locity," said Brian Morin, SVP, Global Marketing, Condusiv Technologies. "Performance bottlenecks from I/O inefficiencies are plaguing today's enterprises with an expensive and unsustainable business model of reactively buying more flash or spindles to satisfy application performance challenges. With the release of V-locity 6.0, we are ending this vicious cycle with software intelligence that cures the problem of increasingly smaller, more fractured, and random I/O that penalizes application performance."

V-locity 6.0 contains two key technologies that reduce I/O from VM (virtual machine) to storage. The first is its patented IntelliWrite engine that increases I/O density from VM to storage by adding a layer of intelligence into the Windows OS that eliminates I/O fracturing so writes (and subsequent reads) are processed in a more contiguous and sequential manner. This reduces the I/O requirement for any given workload and increases throughput since more data is processed with each I/O operation. The second key technology, IntelliMemory DRAM read caching, has achieved a performance breakthrough in V-locity 6.0 by focusing on serving the smallest, random I/O. IntelliMemory has also been enhanced with an extremely lightweight compression engine that expands the amount of data that can be serviced by DRAM without visible CPU overhead.

"V-locity version 6.0 makes a very compelling argument for server-side DRAM caching by targeting small, random I/O - the culprit that dampens performance the most," said Jim Miller, Senior Analyst, Enterprise Management Associates. This approach helps organizations improve business productivity by better utilizing the available DRAM they already have. However, considering the price evolution of DRAM, its speed, and proximity to the processor, some organizations may want to add additional memory for caching if they have data sets hungry for otherworldly performance gains."

IT Administrators who are concerned with allocating precious DRAM for caching purposes need not be concerned. IntelliMemory is a dynamic cache that leverages available DRAM and throttles according to the need of the application so there is a never an issue of resource contention or memory starvation. This allows organizations to get the most from the hardware they already have by ensuring the fastest storage media in their infrastructure is being fully utilized instead of sitting idle.

Condusiv's V-locity 6.0 with IntelliMemory DRAM read caching offers:

- Enhanced Performance – Iometer testing reveals the latest version of IntelliMemory in V-locity 6.0 is 3.6X faster when processing 4K blocks and 2.0X faster when processing 64K blocks.

- Self-Learning Algorithms – IntelliMemory collects and accumulates data on storage access over extended periods of time and employs intelligent analytics to determine which blocks are likely to be accessed at different points throughout the day.

- Cache Effectiveness – By focusing on "cache effectiveness" rather than the commodity and capacity-intensive approach of "cache hits," V-locity determines the best use of DRAM for caching purposes by collecting data on a wide range of data points (storage access, frequency, I/O priority, process priority, types of I/O, nature of I/O (sequential or random), time between I/Os) - then leverages its analytics engine to identify which storage blocks will benefit the most from caching, which also reduces "cache churn" and the repeated recycling of cache blocks.

- Data Pattern Compression (DPC) – A very lightweight data compression engine, V-locity doesn't tax the CPU with visible overhead, eliminating the need for dedicated compute resources.

"Available DRAM may not sound like a lot of capacity for caching purposes, but when you're talking about the fastest storage media possible that is exponentially faster than SSDs and sits closer to the processor than anything else, even just 4 GB allocated to a particular VM is the perfect place and size to satisfy small, random I/O that is stealing storage bandwidth. For those read-heavy workloads that have even more DRAM, V-locity will provide levels of performance unrivaled by any other caching approach that sits further down the technology stack," said Brian Morin.

V-locity has been adopted by nearly 2,000 virtualized organizations to solve their most I/O intensive challenges and is proven to dramatically improve performance in Tier I applications such as those running on SQL, Oracle, Exchange, ERP, CRM (including Salesforce), OLTP, data warehousing and analytics, EHR/EMR applications (such as MEDITECH), Business Intelligence (BI) applications, file servers, and web servers.

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Condusiv Announces V-locity 6.0

Condusiv Technologies announced the release of V-locity 6.0, featuring Condusiv's patented IntelliMemory server-side DRAM read caching engine that is now 3X faster than the previous version due to a behavioral analytics engine that focuses on "caching effectiveness" instead of "cache hits."

V-locity 6.0 is I/O reduction software for virtualized environments that delivers as much as 600% or more faster application performance without any additional hardware.

"Typically, when a vendor is into the 6th generation of any technology, performance enhancement is incremental in nature. That status quo couldn't be further from the truth as we just released the highest performing product in the 33-year history of the company that boasts 3X faster caching than the previous version of V-locity," said Brian Morin, SVP, Global Marketing, Condusiv Technologies. "Performance bottlenecks from I/O inefficiencies are plaguing today's enterprises with an expensive and unsustainable business model of reactively buying more flash or spindles to satisfy application performance challenges. With the release of V-locity 6.0, we are ending this vicious cycle with software intelligence that cures the problem of increasingly smaller, more fractured, and random I/O that penalizes application performance."

V-locity 6.0 contains two key technologies that reduce I/O from VM (virtual machine) to storage. The first is its patented IntelliWrite engine that increases I/O density from VM to storage by adding a layer of intelligence into the Windows OS that eliminates I/O fracturing so writes (and subsequent reads) are processed in a more contiguous and sequential manner. This reduces the I/O requirement for any given workload and increases throughput since more data is processed with each I/O operation. The second key technology, IntelliMemory DRAM read caching, has achieved a performance breakthrough in V-locity 6.0 by focusing on serving the smallest, random I/O. IntelliMemory has also been enhanced with an extremely lightweight compression engine that expands the amount of data that can be serviced by DRAM without visible CPU overhead.

"V-locity version 6.0 makes a very compelling argument for server-side DRAM caching by targeting small, random I/O - the culprit that dampens performance the most," said Jim Miller, Senior Analyst, Enterprise Management Associates. This approach helps organizations improve business productivity by better utilizing the available DRAM they already have. However, considering the price evolution of DRAM, its speed, and proximity to the processor, some organizations may want to add additional memory for caching if they have data sets hungry for otherworldly performance gains."

IT Administrators who are concerned with allocating precious DRAM for caching purposes need not be concerned. IntelliMemory is a dynamic cache that leverages available DRAM and throttles according to the need of the application so there is a never an issue of resource contention or memory starvation. This allows organizations to get the most from the hardware they already have by ensuring the fastest storage media in their infrastructure is being fully utilized instead of sitting idle.

Condusiv's V-locity 6.0 with IntelliMemory DRAM read caching offers:

- Enhanced Performance – Iometer testing reveals the latest version of IntelliMemory in V-locity 6.0 is 3.6X faster when processing 4K blocks and 2.0X faster when processing 64K blocks.

- Self-Learning Algorithms – IntelliMemory collects and accumulates data on storage access over extended periods of time and employs intelligent analytics to determine which blocks are likely to be accessed at different points throughout the day.

- Cache Effectiveness – By focusing on "cache effectiveness" rather than the commodity and capacity-intensive approach of "cache hits," V-locity determines the best use of DRAM for caching purposes by collecting data on a wide range of data points (storage access, frequency, I/O priority, process priority, types of I/O, nature of I/O (sequential or random), time between I/Os) - then leverages its analytics engine to identify which storage blocks will benefit the most from caching, which also reduces "cache churn" and the repeated recycling of cache blocks.

- Data Pattern Compression (DPC) – A very lightweight data compression engine, V-locity doesn't tax the CPU with visible overhead, eliminating the need for dedicated compute resources.

"Available DRAM may not sound like a lot of capacity for caching purposes, but when you're talking about the fastest storage media possible that is exponentially faster than SSDs and sits closer to the processor than anything else, even just 4 GB allocated to a particular VM is the perfect place and size to satisfy small, random I/O that is stealing storage bandwidth. For those read-heavy workloads that have even more DRAM, V-locity will provide levels of performance unrivaled by any other caching approach that sits further down the technology stack," said Brian Morin.

V-locity has been adopted by nearly 2,000 virtualized organizations to solve their most I/O intensive challenges and is proven to dramatically improve performance in Tier I applications such as those running on SQL, Oracle, Exchange, ERP, CRM (including Salesforce), OLTP, data warehousing and analytics, EHR/EMR applications (such as MEDITECH), Business Intelligence (BI) applications, file servers, and web servers.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.