CPU and GPU
CUDA
Vulkan
WebGPU
Got GPU?
A GPU (graphics processing unit) can process data up to ten times faster than the main processor of a common PC.

It performs best on large amounts of data, like images, 3D volumes, measurement data or physics simulations.

But programming a GPU can be difficult. Its architecture differs a lot from CPUs, and optimal programming works differently.

Experts at Hand
Core11 GmbH (Vienna/Austria), consults worldwide in application development for GPUs, large and small.

After decades of field experience, we know our way around the perils of GPU programming and can make computer vision (CV) and high performance computing (HPC) workloads run efficiently on GPUs of any size (speedups over CPU code are typically ten times or more).

More on our Services
20+ Years of GPU Experience
Our knowledge is based on twenty years of experience with GPGPU (general purpose computation on GPUs). This includes pure simulation, image processing, scientific visualization, and interactive prototypes in VR and AR.

We work with embedded systems (NVIDIA Jetson) as well.

Latest Techniques
We constantly evaluate new hardware programming techniques to ensure highest performance for our customers. Our preferred hardware platform is NVIDIA hardware, but we are open to working on other platforms with Vulkan and WebGPU.