We offer dedicated CPU and GPU servers suitable for all kinds of intensive heavy-computing tasks. They are customized to be used for rendering and machine learning. Access our servers the way you need them and create your own Render Farm or Supercomputer.
Security is our top priority. We guarantee confidentiality of your project – we provide you access to servers via IKEv2 / IPSec encrypted tunnel (VPN), which ensures that no one else can use your data.
We value transparency – our company does not apply hidden fees. You pay only for computing, we don’t charge for traffic, networking or installation. Service is prepaid for the specified period and there are no additional fees and costs at the end of the period.
Use our 48-hour free test period to see how user-friendly and intuitive our control panel is. You don’t need to be an IT specialist to use it. It is easy to add and remove servers according to your ongoing projects and deadlines.Register
Learn more about Infrastructure As A Service or What is a Render Farm.
If you are new to machine learning you probably are wondering “What hardware specifications does my computer or server need to run machine learning?”. We have combined the results of the tests run by pugetsystems and came with the short answer short answer “With a lot of GPUs and VRam”, the longer and more detailed answer can be read a bit late in that article (link to chapter), but to be useful to as many people as possible we will start with some basic information about machine learning.
Most of the people who work with 3D have asked themselves how can I speed the rendering process. And all of them have some advice to give. But it is mostly set this setting to 3 instead of 4, and this one to 13 instead of 25.
T.L.D.R. version is that “Render Farm” is a group or cluster of computers linked together to calculate (render) computer generated images (CGI). Most of you have seen such images in animations, film visual effects or in architect`s presentations.