List of products by supplier: CETA - CIEMAT

Showing 1 - 7 of 7 items
  • 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.

  • 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

  • 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

  • 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
  • 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
  • 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).
  • 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)
Showing 1 - 7 of 7 items
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