Using the right tool for AI use cases
The STACKIT GPU portfolio offers the optimal tool for providing the high computing power that is often required for AI applications in particular.
Elementary foundation for your cloud
The STACKIT Compute Engine GPU offers a large portfolio of GPUs for different use cases. Up to 8 GPUs can be used per virtual machine (VM) to deliver the desired performance. Through integration with other STACKIT products, the GPUs can be easily scaled and effortlessly booked into existing environments.
Applications of STACKIT Compute Engine GPU
The following use cases, among others, can be realized with STACKIT Compute Engine GPU:
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 enables scaling from 1 to 8 GPUs depending on the system requirements.
STACKIT Compute Engine GPU 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.
- Parallel processing of calculations allows a wide variety of AI, ML and rendering use cases to be implemented.
Advantages of STACKIT Compute Engine GPU
- You can quickly and easily deploy GPU-powered VMs thanks to the intuitive graphical management 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).
- With market-leading acceleration hardware, you can set up an application-oriented environment.
- You can set up, dismantle or reduce existing environments individually and cost-effectively at any time.
- You can use the GPU portfolio in all environments with AI, ML and rendering use cases.
STACKIT Compute Engine GPU price table
Billing
server | CPU | RAM | Billing | Price |
|---|---|---|---|---|
GPU Server-n1.14d.g1-EU01 | 14 | 115 | Hourly | 2.65808333333 € |
GPU Server-n1.28d.g2-EU01 | 28 | 230 | Hourly | 5.31616666667 € |
GPU Server-n1.56d.g4-EU01 | 56 | 460 | Hourly | 16.33806944444 € |
GPU Server-n2.14d.g1-EU01 | 14 | 50 | Hourly | 1.74290277778 € |
GPU Server-n2.28d.g2-EU01 | 28 | 100 | Hourly | 3.48580555556 € |
GPU Server-n2.56d.g4-EU01 | 56 | 200 | Hourly | 6.97161111111 € |
GPU Server-n3.104d.g8-EU01 | 104 | 1728 | Hourly | 64.33080555556 € |
GPU Server-n3.14d.g1-EU01 | 14 | 237 | Hourly | 8.04134722222 € |
GPU Server-n3.28d.g2-EU01 | 28 | 475 | Hourly | 16.08269444444 € |
GPU Server-n3.56d.g4-EU01 | 56 | 950 | Hourly | 32.16540277778 € |
All price indications are net plus applicable taxes and duties. Subject to change without notice.
The services are billed per billing unit or part thereof and according to the price list valid at the time the contract is concluded. Price indications per month are extrapolated values and always refer to a notional usage period of 720 hours (30-day month). The conditions stipulated in the individual contract apply.
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