We are proud to announce that GPUBox Web Service is now available!
It is the first web service that combines the capabilities of GPUBox technology with computing power of Amazon EC2. GPUBox Web Service automatically configures a multi-GPU cloud computing environment that can be accessed from a regular web browser. In other words – it makes you a few clicks away from using an extremely powerful, GPUBox-enabled infrastructure to edit your scenes and render them in real time.
You are now able to deploy your private GPU cloud computing cluster in a few minutes without worrying about hardware or power supply. You do not need anything more than an Amazon AWS account and some GPUHours that you can purchase on our website. Besides, there are a few facts about GPUBox Web Service that you will find interesting:
It is great for heavy tasks
Engaging the processing power of dozens of high-end GPUs can decrease the time needed to complete your work by days or even months.
It allows you to keep your work secure
On the contrary to renderfarms, you can store your files on a private virtual machines hosted by Amazon AWS. You can exchange the files between your system and a virtual machine over secure transfer protocol. It gives you full control on who can access your precious files.
You can bring your own application
You can treat the virtual machine on Amazon AWS as your own system. It means that you can enhance your favorite application supported by GPUBox Artist with massive number of GPUs by simply installing it on your private virtual system within GPUBox Web Service. And if you are a Blender user – good news, it is already installed on the machine image and ready to work. At the moment GPUBox is working within CUDA environment, however we are going to introduce support for OpenCL and later also OpenGL.
It works with every operating system
GPUBox Web Service Manager can be launched on every OS with Java, no matter if it is Windows, Linux or OS X. The cloud environment itself can be accessed from every major web browser, so there is no need to install any additional software on your side.
Your co-workers can use the GPUs simultaneously
As GPUBox Web Service uses GPUBox Artist and all of its features, the GPUs does not have to be assigned only to one user. You can give your co-workers access to the environment and the processing power of the GPU-cloud will be distributed among them. Users can be easily managed through GPUBox Web Console.
Your virtual system is already prepared
We have prepared an Amazon Machine Image that is ready to work. Our official AMI is currently based on fast and reliable CentOS 6.4, however soon there will also be an official Windows-based AMI available.
If you need any help with using GPUBox Web Service, you can take a lookat the detailed User’s Guide we have prepared or you can watch the video tutorial showing how to configure a basic GPUBox infrastructure on Amazon EC2 or contact our support team.