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Showing 1 - 21 of 33 items
  • Base performance instance type.

    Features:

    • Accessible in opportunistic or reserved ways
    • CPU cores could be overcommitted

    Ideal for:

    • Web services
    • Micro-services
    • Development environments
    • Building server
    • Small database
    • Test environments
  • Chispter is a user-friendly analysis software for high-throughput data. It contains over 300 analysis tools for next generation sequencing (NGS), microarray, proteomics and sequence data. Users can save and share automatic analysis workflows, and visualize data interactively using a built-in genome browser and many other visualizations.

    To access the application:

    1. Add the application to the cart.
    2. Go to the cart and submit your order.
    3. You will receive an email summarising your order.
    4. You need to wait until your request is approved.
    5. When you receive email confirmation of approval: go to the FGSG portal.
    6. Select the applications you want to run from the “Applications” menu.
  • Block Storage is a block-level storage solution that allows you to expand the storage capacity of your instances in the EGI Federated Cloud. This means you can increase your storage without increasing the size or capacity of your instance or by provisioning new ones.

    Once you mount and format your drive, you can use it just like a regular hard drive attached to your server. Or you can detach your block storage volume from one server and attach it to another. Or you can delete your server, keeping your data intact and ready for the next time you need it.

  • Run your own notebooks with persistent storage on EGI Cloud resources.

  • Optimised instance for computing tasks.

    Features:

    • High performance CPU cores
    • Until 64 CPU cores
    • Real CPU cores (non- overcommitted)
    • Low latency network
    • Reserved instances

    Ideal for:

    • Batch computing
    • High-performance applications and web services
    • Distributed analysis
    • Video encoding

  • The RStudio for Statistical Computing (v1.1.456) is a language and environment for statistical computing and graphics.

    To access the application:

    1. Add the application to the cart.
    2. Go to the cart and submit your order.
    3. You will receive an email summarising your order.
    4. You need to wait until your request is approved.
    5. When you receive email confirmation of approval: go to the FGSG portal.
    6. Select the applications you want to run from the “Applications” menu.
  • It allows the execution of large numbers of independent or loosely coupled computing tasks.

    Limited parallel and multi-thread computing can be supported as well.

    SERVICE PROVIDERS

  • Highly scalable storage system accessible from anywhere allowing to easily share data through different standard interfaces.

    It assigns global identifiers to files and allows to organise your data using a flexible hierarchical structure.

    SERVICE PROVIDERS

  • Optimised instances for tasks that require more memory relative to virtual CPUs.

    Features:

    • High amount of RAM per CPU core.
    • Up to 240 GB of RAM in total.
    • Reserved instances

    Ideal for:

    • Running in-memory database
    • Running in-memory stores (e.g. redis, memcached)
    • In-memory big data processing engines (e.g. Apache Spark).
  • Base performance instance type.

    Features:

    • Accessible in opportunistic or reserved ways
    • CPU cores could be overcommitted

    Ideal for:

    • Web services
    • Micro-services
    • Development environments
    • Building server
    • Small database
    • Test environments
  • GPU-enabled instances.

    Features:

    • 1 or 2 GPU cores
    • 8 CPU cores for each GPU core
    • Large memory

    Ideal for:

    • Graphics and general purpose GPU compute applications
  • Community specific deployment to provide notebooks for all the users of a community. Allows further customisation to meet the community needs (e.g. shared storage).

  • Main characteristics:

    • Ideal for very large files
    • Able to handle large amounts of files
    • Transfer process with automatic retry

    SERVICE PROVIDERS

  • Target audience

    • All individuals involved in the provisioning of (federated) IT services
    • Candidates who wish to progress to advanced level of the qualification and certification scheme
  • Archive Storage allows you to store large amounts of data in a secure environment freeing up your usual online storage resources.

    The data on the Archive Storage can be replicated across several storage sites, thanks to the adoption of interoperable open standards. The service is optimised for infrequent access.

    Main characteristics:

    • Store data for long-term retention
    • Store large amount of data
    • Free up your online storage

    SERVICE PROVIDERS

  • NAMD is a parallel molecular dynamics code designed for high-performance simulation of large bio-molecular systems.

    To access the application:

    1. Add the application to the cart.
    2. Go to the cart and submit your order.
    3. You will receive an email summarising your order.
    4. You need to wait until your request is approved.
    5. When you receive email confirmation of approval: go to the EC3 portal.
    6. Click on “Deploy your Cluster”.
  • The Training Infrastructure offers cloud compute and online storage for training activities. It is useful to organise onsite tutorials or workshops and online training courses or as a platform for self­-paced learning.

    For example, with the Training Infrastructure trainers can create and deploy any custom virtual machine images for the students.

  • GPU-enabled instances.

    Features:

    • 1 or 2 GPU cores
    • 8 CPU cores for each GPU core
    • Large memory

    Ideal for:

    • Graphics and general purpose GPU compute applications
  • Object storage manages data as objects. Each object includes the data itself, a variable amount of metadata, and a globally unique identifier.

    Cloud object storage allows relatively inexpensive, scalable and self-healing retention of massive amounts of unstructured data.

  • Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models.

    To access the application:

    1. Add the application to the cart.
    2. Go to the cart and submit your order.
    3. You will receive an email summarising your order.
    4. You need to wait until your request is approved.
    5. When you receive email confirmation of approval: go to the EC3 portal.
    6. Click on “Deploy your Cluster”.
  • Optimised instance for computing tasks.

    Features:

    • High performance CPU cores
    • Until 64 CPU cores
    • Real CPU cores (non- overcommitted)
    • Low latency network
    • Reserved instances

    Ideal for:

    • Batch computing
    • High-performance applications and web services
    • Distributed analysis
    • Video encoding

Showing 1 - 21 of 33 items
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