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Parallels RAS 20 Released

Parallels announced availability of Parallels RAS 20 (Remote Application Server), the latest version of its flexible virtual application and desktop delivery solution that empowers organizations to work securely from anywhere, on any device.

This release focuses on two key features: seamless application delivery on Windows 365 Cloud PCs, and robust support for applications hosted on-premises, in private clouds, and across public clouds such as Azure Virtual Desktop (AVD) and AWS. Additionally, the latest Parallels Client enables users to access local, remote, Windows, web, and SaaS applications side-by-side, optimizing productivity through a single, unified workspace app.

“Customers can move their application and desktop delivery to Parallels which offers the flexibility for apps to truly follow the user without adding complexity for IT teams,” said Prashant Ketkar, CTO at Parallels. “Parallels RAS can deliver applications directly on the edge (desktop), and with the latest release to Windows 365, unblocking a critical barrier to the adoption of Cloud PCs. This release sets a new benchmark for virtual desktops by combining flexibility, simplicity, security, enhanced user experience, and lower total cost of ownership.”

Parallels RAS 20 delivers comprehensive new features that enhance flexibility and security, streamline administrative processes and improve user experience. Key highlights include:

- Managed Apps on Windows 365 Cloud PCs: Parallels RAS 20 enables users to access Windows 365 Cloud PCs via the Windows app and use Parallels RAS streamed applications directly from their Cloud PCs.

- AWS Support for Availability Zones: Parallels RAS 20 increases the reliability and resilience of desktop infrastructure with the ability to deploy hosts (clones) from the same RAS template image and host pool across different Availability Zones, enhancing high availability.

- Local App Launch: Parallels RAS 20 enhances the user experience by integrating local applications seamlessly, allowing both remote published apps and local apps to display side-by-side in the same Parallels Client. In addition, combined with Parallels Browser Isolation, it provides highly secure access to SaaS applications, with browser isolation implemented at the endpoint. These capabilities empower administrators to centrally manage, scale, and optimize costs, while creating a secure workspace for all applications—local, remote, and web-based—for their workforce.

- Azure Marketplace SaaS Offering for Prepaid Acquisition: Customers can now purchase pre-paid Parallels RAS subscriptions directly from the Azure Marketplace, utilizing their Microsoft Azure Consumption Commitment (MACC), and enabling Parallels partners to create private offers—streamlining deployment and cloud-based purchasing strategies for remote access and virtualization. Learn more.

Parallels RAS delivers simplified management and administration of virtual apps and desktops while lowering end user computing costs. Presenting on-premises and multi-cloud solutions in a centralized management console for administrators and a secure virtual work environment for end users, it is the ideal digital workspace for the future of work.

Parallels RAS 20 is available now.

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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 ...

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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 ...

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Parallels RAS 20 Released

Parallels announced availability of Parallels RAS 20 (Remote Application Server), the latest version of its flexible virtual application and desktop delivery solution that empowers organizations to work securely from anywhere, on any device.

This release focuses on two key features: seamless application delivery on Windows 365 Cloud PCs, and robust support for applications hosted on-premises, in private clouds, and across public clouds such as Azure Virtual Desktop (AVD) and AWS. Additionally, the latest Parallels Client enables users to access local, remote, Windows, web, and SaaS applications side-by-side, optimizing productivity through a single, unified workspace app.

“Customers can move their application and desktop delivery to Parallels which offers the flexibility for apps to truly follow the user without adding complexity for IT teams,” said Prashant Ketkar, CTO at Parallels. “Parallels RAS can deliver applications directly on the edge (desktop), and with the latest release to Windows 365, unblocking a critical barrier to the adoption of Cloud PCs. This release sets a new benchmark for virtual desktops by combining flexibility, simplicity, security, enhanced user experience, and lower total cost of ownership.”

Parallels RAS 20 delivers comprehensive new features that enhance flexibility and security, streamline administrative processes and improve user experience. Key highlights include:

- Managed Apps on Windows 365 Cloud PCs: Parallels RAS 20 enables users to access Windows 365 Cloud PCs via the Windows app and use Parallels RAS streamed applications directly from their Cloud PCs.

- AWS Support for Availability Zones: Parallels RAS 20 increases the reliability and resilience of desktop infrastructure with the ability to deploy hosts (clones) from the same RAS template image and host pool across different Availability Zones, enhancing high availability.

- Local App Launch: Parallels RAS 20 enhances the user experience by integrating local applications seamlessly, allowing both remote published apps and local apps to display side-by-side in the same Parallels Client. In addition, combined with Parallels Browser Isolation, it provides highly secure access to SaaS applications, with browser isolation implemented at the endpoint. These capabilities empower administrators to centrally manage, scale, and optimize costs, while creating a secure workspace for all applications—local, remote, and web-based—for their workforce.

- Azure Marketplace SaaS Offering for Prepaid Acquisition: Customers can now purchase pre-paid Parallels RAS subscriptions directly from the Azure Marketplace, utilizing their Microsoft Azure Consumption Commitment (MACC), and enabling Parallels partners to create private offers—streamlining deployment and cloud-based purchasing strategies for remote access and virtualization. Learn more.

Parallels RAS delivers simplified management and administration of virtual apps and desktops while lowering end user computing costs. Presenting on-premises and multi-cloud solutions in a centralized management console for administrators and a secure virtual work environment for end users, it is the ideal digital workspace for the future of work.

Parallels RAS 20 is available now.

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.