STACKIT Compute Engine GPU
Powerful GPUs in virtual machines for large and small workloads
The STACKIT Compute Engine GPU offers a large portfolio of GPUs for various use cases. Up to 8 GPUs can be used per virtual machine (VM) to get the desired performance. Through the integration into other STACKIT products, the GPUs can be easily scaled and booked effortlessly into existing environments.
Use cases
STACKIT Compute Engine GPU can be used to implement the following use cases:
Use the right tool for AI use cases
The STACKIT GPU portfolio offers the optimal tool for providing high computing power, which is often required especially for AI applications.
Accelerate rendering volume
The STACKIT Compute Engine GPU can significantly accelerate rendering workloads thanks to different machine types.
Scale with the requirements
The GPU portfolio allows scaling from 1 to 8 GPUs depending on system requirements.
Functions
- System sizes (machine types) can be configured for different application scenarios with different dimensioning requirements.
- Instances can be created quickly and easily via the self-service user interface in the STACKIT portal or via the API.
- Through the parallel processing of calculations, a wide variety of KI, ML and rendering use cases can be implemented.
Advantages
- You can quickly and easily deploy GPU-powered VM with the intuitive graphical management user interface.
- You benefit from transparency and cost efficiency. You only pay for the systems that use or reserve the corresponding resources (pay-as-you-go).
- Build an application-oriented environment with market-leading acceleration hardware.
- You can set up, dismantle, or reduce existing environments individually and cost-effectively.
- You can use the GPU portfolio in all environments with AI, ML and rendering use cases.
Prices
Do you still have specific questions about the product or would you like to test it? For further information and advice from our competent team of experts, please do not hesitate to contact us.