FlexCompute GPU
More computing power thanks to GPU
Turing Tensor computing units manage up to 40 times more performance than CPUs
FlexCompute GPU
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.
Computing detail pages:
Application areas of GPU computing:
1. Visualisation
- 3D Render Streaming
- VR (Virtual Reality)
- AR (Augmented Reality)
- VDI (Virtual Desktop Infrastructure)
2. Research & Development
- AI (Artificial Intelligence)
- Simulation
3. Data Analytics
- ML (Machine Learning)
- Big Data
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.
What offers weSystems
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 whom is GPU computing suitable?
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.
Advantages of GPU as a Service: How our cloud solution scores points
- GPU supports numerous workloads such as AI, machine learning or visualisation in the field of high-performance computing
- Maximise profits through flexible use of GPU power
- The speed increase in parallel processing compared to CPU use here is between 8 and 18 times and saves companies valuable time
- High productivity through unlimited access to resources, data, applications and designs
- Business-critical data and intellectual property are stored in German cloud data centres in a DSGVO-compliant manner, safe and protected from access by third parties
- GPU servers consume less energy to complete the same tasks. This protects the environment and also saves further costs
- weSystems ensures availability, support and maintenance 24x7
- weSystems provides the latest and most powerful hardware
