CUDA offers a massively parallel architecture to perform complex taks. Graphics processing units (GPUs) offers tremendous performance in many high-performance computing applications. use the power of GPUs today and make sure that your company relies on state of the art technology.

CUDA stands for Computer Unified Device Architecture. It is a parallel computing architecture developed by NVIDIA. It’s a computing engine in NVIDIA Graphics Processing Units (GPU) whose interface is available for programmers in higher computer languages like C. The developers have access to native instructions set and memory. It provides both low level and high level API in platforms like Windows, Linux and Mac. CUDA enables GPU to have open architecture like CPU but unlike CPU they have programmable number of cores (many-core architecture) with each core capable of running thousands of threads. This improves performance tremendously.

Full support for integer and bitwise operations, including integer texture lookups. CUDA works with all NVIDIA GPU from G8X series onwards including GeForce, Quadro and Tesla line

CUDA is:

• Easy to use
• Reliable
• Free to use
• Portable

With CUDA your investment will be safe and you can be sure that you are relying on a technology which is widely use. Basically every NVIDIA graphics card can be used with CUDA and therefore millions of CUDA-enabled devices are ready to use.

Ahead of your competition ...

Be ahead of your competition and solve complex tasks in the most cost efficient way. Use spare machines in office and use the full power of existing hardware.

Performance for your future

Today's business infrastructure requires data processing solutions that can meet ever-increasing demands with high reliability and ease of management. In addition, clients want solutions that offer the scalability to grow with the business, the flexibility to rapidly develop and deploy new services, and that deliver these benefits at a reasonable cost. For many clients, switching to a totally new way of information processing will be the key to success.

Clustering has been the driving force behind many of the world's most powerful scientific supercomputers for many years but it has not been the only answer. Cheap and affordable graphics processors have reached a new dimension of performance and for the first time in history, the raw power of a GPU can be used to process logic and scientific tasks. For the first time it is possible to cut hardware costs by as much as 90% by increasing performance at the same time.

Contact us today: office@cybertec.at