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:

  1. Request access selecting one of the service options below.
  2. Set the relevant parameters and add the service to the cart.
  3. Go to the cart and submit your order.
  4. You will receive an email summarising your order.
  5. 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...

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Technical 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...

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Technical 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...

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Technical 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)

The EOSC portal is been jointly developed and maintained by the EOSC-hub, eInfraCentral and OpenAIRE-Advance projects funded by the Euopean

Union’s Horizon 2020 research and innovation programme with contribution of the European Commission

2018 EOSC Portal