ThinAnywhere 3D Remote GPU Accelerated Visualization Tool
ThinAnywhere enables seamless remote access to Linux X-servers, allowing users to run GPU hardware accelerated 3D OpenGL and standard applications effortlessly.





What Is ThinAnywhere®?
ThinAnywhere is a technology that enables multiple users to remotely use 2D & 3D applications from a Linux environment as if they were sitting at the console of the machine. ThinAnywhere allows end users to have secure remote access to the servers, software and data sets with amazing performance.
ThinAnywhere architecture consists of:
- Application server with ThinAnywhere installed that includes one or more graphics adapters that will be used for rendering the 3D geometry
- One or more client machines that will remotely access the application server
- Encryption and compression algorithms to allow highly secure, high speed delivery of data
Collaboration
One or more users may share ThinAnywhere sessions. Whether in the next office, or across the globe, users can collaborate on projects or customers may view resulting data. The user originating the session chooses to allow or prevent other users from controlling the mouse and keyboard.
Performance
ThinAnywhere offers several types of compression algorithms including near no loss and fully no loss algorithms suitable for medical applications. Users with lower-bandwidth connections will benefit from our streaming compressions, while users on a LAN can enjoy the high-performance compression modes. Replacing a Windows-based X-server ThinAnywhere has many benefits over a Windows PC-based X-server in your local network. Find out more here: ThinAnywhere vs. PC X-Server
Virtualization of the GPU
The ThinAnywhere technology utilizes the local graphics capability on the host to share the adapter among several users while delivering amazing frame rates. ThinAnywhere can deliver exceptional frame rates of over 100 frames per second (based on a window sizes of dual 24 inch monitors) utilizing highly advanced compression algorithms.
Testing has shown in some instances of over 2900 frames a second can be delivered on a local network. Multiple graphic adapters are supported to allow many users to share a single system and the same screen at the same time.
Security
Unlike some session-sharing software packages that quickly open up your microphone and camera, ThinAnywhere has been designed for privacy. As an integral part of our technology, we highly secure the environment by utilizing very sophisticated user authentication and AES 128 or 256 bit encryption. The client machine does not have access to your server’s files, nor is the server allowed to access private information or devices on the client.
ThinAnywhere only requires opening one network TCP port. All traffic, including clipboard copy and paste, is encrypted and passed through that single port, transported via ThinAnywhere’s secure, proprietary protocol.
Licenses and Purchasing
ThinAnywhere licenses and subscriptions may be purchased from:
- ThinAnywhere.com – Sales & Support Team (support@thinanywhere.com)
- (Contact ThinAnywhere Sales for resellers outside of the U.S.A.)
Founder
Ralph Gobeli
Ralph Gobeli has spent his career working on problems in high-performance computing, signal processing, and scientific visualization. He began during the early growth of supercomputing, when seismic imaging was one of the largest consumers of computational power in the world. Early in his career he helped develop commercial 3D seismic processing systems that converted large volumes of sensor data into images of the Earth’s subsurface.
In 2000, Ralph applied this experience to a practical problem: running specialized Linux visualization software outside dedicated computing environments. His solution was ThinAnywhere, the first remote 3D visualization and collaboration platform. ThinAnywhere enables remote access to Linux applications, including hardware-accelerated OpenGL software, allowing graphics-intensive programs to run on a central server while remaining fully interactive on remote systems—even across bandwidth-constrained networks.
Throughout his career, Ralph has focused on building systems that make demanding computational tools practical to run at scale.
Over the course of his career, Ralph has also published academic papers as well.