EGI Cloud container compute BETA
Run Docker containers in a lightweight virtualised environment
- Provided by:
- EGI Federation
- Research area:
- Interdisciplinary
- Dedicated for:
- Researchers, Research organisations
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With Cloud Container Compute you can deploy and scale Docker containers on-demand. It offers guaranteed computational resources in a secure and isolated environment with standard API access, without the overhead of managing the operating system.
The result is improved performance, ideal for development.
To access the service you need to:
- Request access selecting one of the service options below.
- Set the relevant parameters and add the service to the cart.
- Go to the cart and submit your order.
- You will receive an email summarising your order.
- You will be contacted by the EGI support team.
Service offers
General purpose
Base preformance instance type. Features: Accessible in opportunistic or reserved ways, CPU cores could be overcommitted. Ideal for: Web services, Micro-services, Development...
Show moreTechnical parameters
| Number of CPU Cores | 1 - 8 |
| Amount of RAM per CPU core | 1 - 4 GB |
| Local disk | 10 - 40 GB |
| Number of VM instances | 1 - 50 |
| Number of days | 1 - 730 |
Compute-intensive
Optimised instance for computing tasks. Feattures: High perfromance CPU cores, Until 64 CPU cores, Real CPU cors (non-overcommitted), Low latency network, Reserved instances. Ideal for: Batch...
Show moreTechnical parameters
| Number of CPU Cores | 8 - 64 |
| Amount of RAM per CPU core | 2 - 8 GB |
| Local disk | 10 - 40 GB |
| Number of VM instances | 1 - 50 |
| Number of days | 1 - 730 |
High-memory
Optimised instances for tasks that require more memory relative to virtual CPUs. Features: High amout od RAM per CPU core, Up to 240 GB of RAm in total, Reserved instances. Ideal for: Running...
Show moreTechnical parameters
| Number of CPU Cores | 2 - 16 |
| Amount of RAM per CPU core | 16 - 120 GB |
| Local disk | 10 - 40 GB |
| Number of VM instances | 1 - 50 |
| Number of days | 1 - 730 |
GPU
GPU-enabled instances. Features: 1 or 2 GPU cores, 9 CPU cores for each GPU core, large memory. Ideal for: Graphics and general purpose GPu compute applications.
Technical parameters
| Number of GPU cores | 1 - 2 |
| Number of CPU Cores | 8 |
| Amount of RAM | 24 - 50 GB |
| Local disk | 280 GB |
| Number of VM instances | 1 - 50 |
| Number of days | 1 - 730 |
Places and languages
- Europe
- English
Related Infrastructures and Platforms
- EGI
Support
Documents
Service phase
- Beta (min. TRL 7)