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Parallels Remote Application Server (RAS) vs SyncHPC

Both stand on virtual desktop infrastructure software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Parallels Remote Application Server (RAS)

Paid WindowsMacLinux+3

Choose Parallels RAS if you need hybrid delivery of virtualized applications and desktops, with profile and identity management and broad client support. Look elsewhere if a free plan is essential.

Visit Parallels Remote Application Server (RAS)

SyncHPC

Paid LinuxSelf-hostedWeb+1

Choose SyncHPC if your team needs a platform for HPC, AI, or VDI workloads across cloud and on-premise environments. Its support for multiple deployment models, cloud providers, and compute applications gives teams several ways to run their workloads. Request pricing and a personalized demo or proof of concept from Syncious to assess fit; the maker identifies higher costs for Kubernetes AI and resource limits for the vGPU VM path.

Visit SyncHPC

The facts

Parallels Remote Application Server (RAS)SyncHPC
Free planNoNot published
Open sourceNot publishedNot published
Runs onWindows, Mac, Linux, iPhone, Android, WebLinux, Self-hosted, Web, Windows
Lowest paid planNot publishedFree or on request
Plans publishedNone1
MakerParallelsNot published
Websiteparallels.comsyncious.com
On virtual desktop infrastructure software#23 of 25#19 of 25

Parallels Remote Application Server (RAS): what it does well

  • Supports application virtualization and both desktop types.
  • Hybrid deployment model.
  • Profile management and identity integration are included.
  • GPU support is listed.
  • Clients include Chrome OS and HTML5 browser access.

What to know first

  • Paid product with no free plan.
  • Client support does not list every platform in its broader platform list.

SyncHPC: what it does well

  • Supports on-premise, hybrid, and cloud deployments.
  • Includes job scheduling and cloud auto-scaling.
  • Offers model versioning and GPU-backed AI sessions.
  • VDI includes encrypted remote sessions and browser access.
  • Lists AWS, Azure, Google Cloud, and Oracle support.

What to know first

  • Pricing is available on request.
  • Kubernetes AI deployments have higher infrastructure and GPU costs.
  • The vGPU VM path has limited maximum resources per user.

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