Turing Tensor computing units manage up to 40 times more performance than CPUs
GPUs (Graphics Processing Units) are more than just graphics cards. They perform almost all tasks that require a lot of parallelised computing power and accelerate power-hungry applications in data centres. Both in the development of artificial intelligence and in the analysis of large amounts of data (big data), GPUs are now indispensable. They also create more performance and efficiency in the area of virtual desktops. In German-speaking countries, these applications of graphics processors are referred to as GPU computing.
2. Research & Development
3. Data Analytics
Today, virtual workstations in the cloud ensure that the necessary resources, data and tools are available at any time of day or night to drive agile, project-based workforces. In this way, most business applications can be operated centrally and GPU-supported flexibly in the cloud as required. Even for short periods of time to support temporary projects and analyses.
weSystems provides GPU-supported virtual and physical machines based on NVIDIA GPUs. Different licensing options can be chosen according to the use case. We currently support GPU assignment on virtual machines. Technologies such as AI or blockchain processing will be offered in the future
For all innovative companies that rely on powerful real-time visualisations or demanding computations in the areas of AI, machine learning/deep learning and are already using applications such as MathLab, Maya, AutoCAD, Creative Cloud and GPU supported PostgreSQL.
Your message was sent successfully! Our Team will contact you as soon as possible! In Meantime if you have any further questions, simply contact us by E-mail or Telephone.