This article describes the old flavor naming-format, describing flavors which are planned for removal during 2022.

We recommend to use the new flavors.

Deprecation cycle

The old flavors have the following planned deprecation-cycle:

  • At november 1st 2022 you will not be able to create new virtual machines with the legacy flavors.
  • At january 2nd 2023 the old flavors will be removed, and virtual machines still using them will be resized to the recommended new flavor, as described in the recommended upgrade path.

Legacy General purpose flavors

The flavors is organized into classes to help you select the correct flavor for your needs. Each of the classes have 5 flavors of various sizes (tiny, small, medium, large, xlarge). Currently the following classes exist:

  • t1 - Tiny VM's
    • This class is intended for testing, or for VM's which does not really need much resources.
    • The disk are shaped to 150 IOPS, which is similar to a regular hard-drive.
  • m1 - Medium-size General purpose
    • This class is for the general purpose VM's. These flavors have 4 GB RAM for each CPU (except for tiny, which have 1CPU/2GB RAM).
    • The disk are shaped to 300 IOPS, which is faster than an enterprise grade hard-drive.
  • l1 - Large general purpose
    • This class is for general-purpose VM's where the m-series are too small. These flavors have 4GB RAM for each CPU.
    • The disk are shaped to 300 IOPS, which is faster than an enterprise grade hard-drive.
  • c1 - CPU intensive VM's
    • This class is for VM's needing a lot of CPU, while not needing too much memory. These flavors have 2GB RAM for each CPU.
    • The disk are shaped to 300 IOPS, which is faster than an enterprise grade hard-drive.
  • r1 - RAM intensive VM's
    • This class is for VM's needing a lot of RAM. These flavors have 8GB RAM for each CPU.
    • The disk are shaped to 300 IOPS, which is faster than an enterprise grade hard-drive.

Overview

The following general-purpose flavors exists in all our platforms:
Openstack flavors

+-----------+--------+------+-------+
| Name      |    RAM | Disk | VCPUs |
+-----------+--------+------+-------+
| t1.tiny   |    256 |   40 |     1 |
| t1.small  |    512 |   40 |     1 |
| t1.medium |    768 |   40 |     1 |
| t1.large  |   1024 |   40 |     2 |
| t1.xlarge |   1536 |   40 |     2 |
| m1.tiny   |   2048 |   40 |     1 |
| m1.small  |   4096 |   40 |     2 |
| m1.medium |   8192 |   40 |     2 |
| m1.large  |  16384 |   40 |     4 |
| m1.xlarge |  32768 |   40 |     8 |
| l1.tiny   |  49152 |   40 |    12 |
| l1.small  |  65536 |   40 |    16 |
| l1.medium |  81920 |   40 |    20 |
| l1.large  |  98304 |   40 |    24 |
| l1.xlarge | 131072 |   40 |    32 |
| c1.tiny   |  16384 |   40 |     8 |
| c1.small  |  24576 |   40 |    12 |
| c1.medium |  32768 |   40 |    16 |
| c1.large  |  49152 |   40 |    24 |
| c1.xlarge |  65536 |   40 |    32 |
| r1.tiny   |  65536 |   40 |     8 |
| r1.small  |  98304 |   40 |    12 |
| r1.medium | 131072 |   40 |    16 |
| r1.large  | 196608 |   40 |    24 |
| r1.xlarge | 262144 |   40 |    32 |
+-----------+--------+------+-------+

Legacy GPU-based flavors:

Some of the openstack platforms are equipped with GPU's, and access to these are given on request.

  • SkyHiGh:
    • gpu.v100.8G: 8CPU, 90GB RAM and 1/4 of a Nvidia Tesla v100 with 8GB VRAM.
    • gpu.micro.a100.4G: 5CPU, 25GB RAM and 1/10 of a Nvidia Tesla A100 with 4GB GPU VRAM.
    • gpu.medium.a100.10G: 12CPU, 60GB RAM and 1/4 of a Nvidia Tesla A100 with 10GB GPU VRAM.
      • Currently primarily for affiliates of SFI NORCICS
    • gpu.large.a100.20G: 24CPU, 120GB RAM and 1/2 of a Nvidia Tesla A100 with 20GB GPU VRAM.
      • Currentlt primarily for affiliates of SFI NORCICS
    • gpu.large.a100d.20G: 24CPU, 120GB RAM and 1/4 of a Nvidia Tesla A100D with 20GB GPU VRAM
      • Currently exclusively for affiliates of NBL
    • gpu.large+r.a100.20G: 24CPU, 240GB RAM and 1/2 of a Nvidia Tesla A100 with 20GB VRAM
      • Currently exclusively for affiliates of NBL
  • SkyLow:
    • gpu.m10.8G: 8 CPU, 20GB RAM and 1 Nvidia Tesla M10 with 8GB VRAM.
  • StackIT:
    • gpu.a100.10G: 14CPU, 60GB RAM, 1/4 Nvidia Tesla a100 with 10GB VRAM.

Legacy IO-Intensive flavors

Most of our General-Purpose flavors are available in high-IO-versions. If 300IOPS are not enough for your use-case you can be granted access to flavors giving 600IOPS or 1200 IOPS:


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