Develop Quicker

Every industry, from AI Engineering or Industrial Design to VR Development, has its own workflow challenges and professional developers and content creators have to stay ahead of the crowd and not only think about what’s important today, but what might be needed tomorrow.

Run-of-the-mill equipment provides neither the power, nor the cross-compatibility required. Therefore, ConceptD workstations with their powerful processors, specific GPUs, large amount of memory and storage, have been designed to specifically meet the needs of developers.


CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing. It serves as a common platform across all NVIDIA GPU families so applications can be deployed and scaled across GPU configurations.

How CUDA Works

In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the computational intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords.

How it Benefits Developers

In demanding applications such as deep learning, computational physics, or 3D modelling, pure CPU power stalls at the highest levels. That’s where GPUs with CUDA come in – professional applications like Autodesk or Wolfram Mathematica are able to reach previously unthinkable speeds. For example with 4608 parallel processing cores performing up to 16.3 Tflops, you’ll be able to accelerate your multithreading capabilities to the next level.