Novatech graphics workstations

What makes a Graphics workstation?

• CPU Graphics workstations have several requirements when it comes to RAM size and type. The most important of these is the size in comparison to the file, model or object that is being worked with. If the size of the file is too large to be held entirely in RAM, this forces the program to page data either to a paging file or to a scratch drive. While this is often a high-speed storage drive such as an SSD, this is an order of magnitude slower than accessing the model in RAM. To allow greater flexibility, workstations often have a minimum of 16GB of RAM although they often scale to 64 or even 128GB to enable efficient working.
  
  For Graphics professionals we highly recommend the use of Error Correcting Code RAM, a server and workstation variant of standard RAM that has inbuilt logic to check and correct most forms of in memory corruption. This has the dual benefit of preventing mistakes in simulated models such as Solidworks and also increasing the stability and reliability of any system using it, reducing the likelihood of crashes or unforced errors.
• Memory Graphics workstations have several requirements when it comes to RAM size and type. The most important of these is the size in comparison to the file, model or object that is being worked with. If the size of the file that is too large to be held entirely in RAM, this forces the program to page data either to a paging file or to a scratch drive. While this is often a high-speed storage drive such as an SSD, this is an order of magnitude slower than accessing the model in RAM. To allow greater flexibility, workstations often have a minimum of 16GB of RAM although they often scale to 64 or even 128GB to enable efficient working.
  
  For Graphic professionals we highly recommend the use of Error Correcting Code RAM, a server and workstation variant of standard RAM that has inbuilt logic to check and correct most forms of in memory corruption. This has the dual benefit of preventing mistakes in increasing the stability and reliability of any system using it, reducing the likelihood of crashes or unforced errors.
• GPU Key to performance in graphics applications, GPUs can be judged on the combination of two factors, their Frame Buffer and CUDA core count. In this case, much like with RAM, high amounts of memory are required to efficiently and effectively deal with more complex and potentially larger files, while the CUDA cores and clock speed determine the rate at which changes to these files are processed.
  
  While those that are budget conscious may see the value of using a high-end gaming card, as these have similar CUDA counts and buffers, professional grade GPUs provide more reliability. Via a combination of driver packages customised for professional workflows, internal software validation (ISV) certification, and components and cards engineered for 24/7 render workloads. Other highly advanced feature sets are only available on Quadro cards, particularly in the rendering space.