Merge pull request #123 from nerc-project/new_flavors_and_price

updated with new flavor definitions in flavor docs
nerc-project · Aug 7, 2023 · 8c29f57 · 8c29f57
2 parents 74b95d6 + a205e0c
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diff --git a/docs/openshift/get-started/openshift-overview.md b/docs/openshift/get-started/openshift-overview.md
@@ -1,6 +1,6 @@
 # OpenShift Overview
 
-OpenShift is a multifaceted, container orcheastration platform from Red Hat.
+OpenShift is a multifaceted, container orchestration platform from Red Hat.
 OpenShift Container Platform is a cloud-based Kubernetes container platform.
 NERC offers a cloud development **Platform-as-a-Service (PaaS)** solution based
 on Red Hat's OpenShift Container Platform that provides isolated, multi-tenant

diff --git a/...tack/advanced-openstack-topics/openstack-cli/launch-a-VM-using-openstack-CLI.md b/...tack/advanced-openstack-topics/openstack-cli/launch-a-VM-using-openstack-CLI.md
@@ -16,19 +16,19 @@ Get the flavor list using below openstack command:
   +--------------------------------------+------------+--------+------+-----------+-------+-----------+
   | ID                                   | Name       |    RAM | Disk | Ephemeral | VCPUs | Is Public |
   +--------------------------------------+------------+--------+------+-----------+-------+-----------+
-  | 12ded228-1a7f-4d35-b994-7dd394a6ca90 | gpu-a100.2 | 196608 |   20 |         0 |    24 | True      |
-  | 15581358-3e81-4cf2-a5b8-c0fd2ad771b4 | mem-a.8    |  65536 |   20 |         0 |     8 | True      |
-  | 17521416-0ecf-4d85-8d4c-ec6fd1bc5f9d | cpu-a.1    |   2048 |   20 |         0 |     1 | True      |
-  | 2b1dbea2-736d-4b85-b466-4410bba35f1e | cpu-a.8    |  16384 |   20 |         0 |     8 | True      |
-  | 2f33578f-c3df-4210-b369-84a998d77dac | mem-a.4    |  32768 |   20 |         0 |     4 | True      |
-  | 4498bfdb-5342-4e51-aa20-9ee74e522d59 | mem-a.1    |   8192 |   20 |         0 |     1 | True      |
-  | 4e43e6df-3637-4363-a7cd-732fbf9e7cfd | gpu-a100.4 | 393216 |   20 |         0 |    48 | True      |
-  | 7f2f5f4e-684b-4c24-bfc6-3fce9cf1f446 | mem-a.16   | 131072 |   20 |         0 |    16 | True      |
-  | 8c05db2f-6696-446b-9319-c32341a09c41 | cpu-a.16   |  32768 |   20 |         0 |    16 | True      |
-  | 9662b5b2-aeaa-4d56-9bd3-450deee668af | cpu-a.4    |   8192 |   20 |         0 |     4 | True      |
-  | b3377fdd-fd0f-4c88-9b4b-3b5c8ada0732 | gpu-a100.1 |  98304 |   20 |         0 |    12 | True      |
-  | e9125ab0-c8df-4488-a252-029c636cbd0f | mem-a.2    |  16384 |   20 |         0 |     2 | True      |
-  | ee6417bd-7cd4-4431-a6ce-d09f0fba3ba9 | cpu-a.2    |   4096 |   20 |         0 |     2 | True      |
+  | 12ded228-1a7f-4d35-b994-7dd394a6ca90 | gpu-su-a100.2 | 196608 |   20 |         0 |    24 | True      |
+  | 15581358-3e81-4cf2-a5b8-c0fd2ad771b4 | mem-su.8    |  65536 |   20 |         0 |     8 | True      |
+  | 17521416-0ecf-4d85-8d4c-ec6fd1bc5f9d | cpu-su.1    |   2048 |   20 |         0 |     1 | True      |
+  | 2b1dbea2-736d-4b85-b466-4410bba35f1e | cpu-su.8    |  16384 |   20 |         0 |     8 | True      |
+  | 2f33578f-c3df-4210-b369-84a998d77dac | mem-su.4    |  32768 |   20 |         0 |     4 | True      |
+  | 4498bfdb-5342-4e51-aa20-9ee74e522d59 | mem-su.1    |   8192 |   20 |         0 |     1 | True      |
+  | 4e43e6df-3637-4363-a7cd-732fbf9e7cfd | gpu-su-a100.4 | 393216 |   20 |         0 |    48 | True      |
+  | 7f2f5f4e-684b-4c24-bfc6-3fce9cf1f446 | mem-su.16   | 131072 |   20 |         0 |    16 | True      |
+  | 8c05db2f-6696-446b-9319-c32341a09c41 | cpu-su.16   |  32768 |   20 |         0 |    16 | True      |
+  | 9662b5b2-aeaa-4d56-9bd3-450deee668af | cpu-su.4    |   8192 |   20 |         0 |     4 | True      |
+  | b3377fdd-fd0f-4c88-9b4b-3b5c8ada0732 | gpu-su-a100.1 |  98304 |   20 |         0 |    12 | True      |
+  | e9125ab0-c8df-4488-a252-029c636cbd0f | mem-su.2    |  16384 |   20 |         0 |     2 | True      |
+  | ee6417bd-7cd4-4431-a6ce-d09f0fba3ba9 | cpu-su.2    |   4096 |   20 |         0 |     2 | True      |
   +--------------------------------------+------------+--------+------+-----------+-------+-----------+
 ```
 
@@ -125,7 +125,7 @@ To create a VM in Specific "**Availability Zone and compute Host**" specify
 Example:
 
 ```sh
-  [user@laptop ~]$ openstack server create --flavor cpu-a.2 \
+  [user@laptop ~]$ openstack server create --flavor cpu-su.2 \
       --image centos-7-x86_64 \
       --nic net-id=8ee63932-464b-4999-af7e-949190d8fe93 \
       --security-group default \

diff --git a/docs/openstack/advanced-openstack-topics/openstack-cli/openstack-CLI.md b/docs/openstack/advanced-openstack-topics/openstack-cli/openstack-CLI.md
@@ -118,8 +118,8 @@ of your project's instances:
   +--------------------------------------+------------------+--------+----------------------------------------------+--------------------------+--------------+
   | ID                                   | Name             | Status | Networks                                     | Image                    |  Flavor      |
   +--------------------------------------+------------------+--------+----------------------------------------------+--------------------------+--------------+
-  | 1c96ba49-a20f-4c88-bbcf-93e2364365f5 |    vm-test       | ACTIVE | default_network=192.168.0.146, 199.94.60.4   | N/A (booted from volume) |  cpu-a.4     |
-  | dd0d8053-ab88-4d4f-b5bc-97e7e2fe035a |    gpu-test      | ACTIVE | default_network=192.168.0.146, 199.94.60.4   | N/A (booted from volume) |  gpu-a100.1  |
+  | 1c96ba49-a20f-4c88-bbcf-93e2364365f5 |    vm-test       | ACTIVE | default_network=192.168.0.146, 199.94.60.4   | N/A (booted from volume) |  cpu-su.4     |
+  | dd0d8053-ab88-4d4f-b5bc-97e7e2fe035a |    gpu-test      | ACTIVE | default_network=192.168.0.146, 199.94.60.4   | N/A (booted from volume) |  gpu-su-a100.1  |
   +--------------------------------------+------------------+--------+----------------------------------------------+--------------------------+--------------+
 ```
 

diff --git a/docs/openstack/create-and-connect-to-the-VM/flavors.md b/docs/openstack/create-and-connect-to-the-VM/flavors.md
@@ -15,33 +15,31 @@ NERC offers the following flavors based on our Infrastructure-as-a-Service
 
 ### 1. Standard Compute Tier
 
-The standard compute flavor **"cpu-a"** is provided from Lenovo SD530 (2x Intel 8268
-2.9 GHz, 48 core, 384 GB memory) server. The base service unit (SU) is 1 vCPU, 2
-GB memory at a rate of $0.018 / hr of wall time. Multiples of the `cpu-a` SU are
-available with 20 GB root disk, and the price scales accordingly:
-
-| Flavor        | SUs    | Cost / hr    |
-|---------------|--------|--------------|
-| cpu-a.1       | 1      | $0.018       |
-| cpu-a.2       | 2      | $0.036       |
-| cpu-a.4       | 4      | $0.072       |
-| cpu-a.8       | 8      | $0.144       |
-| cpu-a.16      | 16     | $0.288       |
+The standard compute flavor **"cpu-su"** is provided from Lenovo SD530 (2x Intel
+8268 2.9 GHz, 48 cores, 384 GB memory) server. The base unit is 1 vCPU, 4 GB
+memory with 20 GB root disk at a rate of $0.013 / hr of wall time.
+
+| Flavor        | SUs | GPU | vCPU  | RAM(GB) | Storage(GB) | Cost / hr |
+|---------------|-----|-----|-------|---------|-------------|-----------|
+|cpu-su.1       |1    |0    |1      |4        |20           |$0.013     |
+|cpu-su.2       |2    |0    |2      |8        |40           |$0.026     |
+|cpu-su.4       |4    |0    |4      |16       |80           |$0.052     |
+|cpu-su.8       |8    |0    |8      |32       |160          |$0.104     |
+|cpu-su.16      |16   |0    |16     |64       |320          |$0.256     |
 
 ### 2. Memory Optimized Tier
 
-The memory optimized flavor **"mem-a"** is provided from the same servers at **"cpu-a"**
-but with 8 GB of memory per core. The base service unit (SU) is 1 vCPU, 8 GB
-memory at a rate of $0.036 / hr of wall time. Multiples of the `mem-a` SU are
-available with 20 GB root disk, and the price scales accordingly:
+The memory optimized flavor **"mem-su"** is provided from the same servers at
+**"cpu-su"** but with 8 GB of memory per core. The base unit is 1 vCPU, 8 GB
+memory with 20 GB root disk at a rate of $0.032 / hr of wall time.
 
-| Flavor        | SUs    | Cost / hr    |
-|---------------|--------|--------------|
-| mem-a.1       | 1      | $0.036       |
-| mem-a.2       | 2      | $0.072       |
-| mem-a.4       | 4      | $0.144       |
-| mem-a.8       | 8      | $0.288       |
-| mem-a.16      | 16     | $0.576       |
+| Flavor        | SUs | GPU | vCPU  | RAM(GB) | Storage(GB) | Cost / hr |
+|---------------|-----|-----|-------|---------|-------------|-----------|
+|mem-su.1       |1    |0    |1      |8        |20           |$0.032     |
+|mem-su.2       |2    |0    |2      |16       |40           |$0.064     |
+|mem-su.4       |4    |0    |4      |32       |80           |$0.128     |
+|mem-su.8       |8    |0    |8      |64       |160          |$0.256     |
+|em-su.16       |16   |0    |16     |128      |320          |$0.512     |
 
 ### 3. GPU Tier
 
@@ -54,45 +52,33 @@ available with 20 GB root disk, and the price scales accordingly:
     is integrated into a specialized hardware such as GPUs that produce unprecedented
     performance boosts for technical computing workloads.
 
-There are two flavors within the GPU tier, one featuring older **NVidia K80s**
-and the newer **NVidia A100s technology**.
+There are two flavors within the GPU tier, one featuring the newer
+**NVidia A100s** along with **NVidia V100s**.
 
-The **"gpu-k80"** flavor is provided from Supermicro (2x Intel E5-2620 v3, 24 core,
-128GB memory, 2x NVidia K80s) servers. The base service unit is 25% of a whole
-server, so 1 SU provides 6 vCPU, 32 GB memory, 1 NVidia K80 at a rate of
-$0.534 /  hr of wall time. Multiples of the `gpu-k80` SU are available with
-20 GB root disk.
+The **"gpu-su-a100"** flavor is provided from Lenovo SR670 (2x Intel 8268 2.9 GHz,
+48 cores, 384 GB memory, 4x NVidia A100) servers. These latest GPUs deliver
+industry-leading high throughput and low latency networking. The base unit is 24
+vCPU, 95 GB memory with 20 GB root disk at a rate of $1.803 / hr of wall time.
 
-| Flavor        | SUs    | Cost / hr    |
-|---------------|--------|--------------|
-| gpu-k80.1     | 1      | $0.534       |
-| gpu-k80.2     | 2      | $1.068       |
-| gpu-k80.4     | 4      | $2.136       |
+| Flavor        | SUs | GPU | vCPU  | RAM(GB) | Storage(GB) | Cost / hr |
+|---------------|-----|-----|-------|---------|-------------|-----------|
+|gpu-su-a100.1  |1    |1    |24     |95       |20           |$1.803     |
+|gpu-su-a100.2  |2    |2    |48     |190      |40           |$3.606     |
 
-!!! warning "The `gpu-k80` flavor will be available soon."
+The **"gpu-su-v100"** flavor is provided from Dell R740xd (2x Intel Xeon Gold 6148,
+40 core, 768GB memory, 1x NVidia V100) servers. The base unit is 24 vCPU, 96 GB
+memory at a rate of $0.902 / hr of wall time. There is also a related "gpu-su-v100.1m"
+consumable that provides doubled vCPU and memory in comparision to "gpu-su-v100.1".
+Both gpu-su-v100 consumables are available with a 20 GB root disk.
 
-    We are still working on setting up the hardware required to enable the cost-effective
-    **"gpu-k80"** flavor. We will let you know once it is ready
-    and available for your general use.
-
-The **"gpu-a100"** flavor is provided from Lenovo SR670 (2x Intel 8268 2.9 GHz, 48
-core, 384 GB memory, 4x NVidia A100) servers. These latest GPUs deliver
-industry-leading high throughput and low latency networking. The base service unit
-is 25% of a whole server, so 1 SU provides 12 vCPU, 96 GB memory, 1 NVidia A100
-at a rate of $2.034 / hr of wall time. Multiples of the `gpu-a100` SU are available
-with 20 GB root disk.
-
-| Flavor        | SUs    | Cost / hr    |
-|---------------|--------|--------------|
-| gpu-a100.1    | 1      | $2.034       |
-| gpu-a100.2    | 2      | $4.068       |
-| gpu-a100.4    | 4      | $8.136       |
+| Flavor        | SUs | GPU | vCPU  | RAM(GB) | Storage(GB) | Cost / hr |
+|---------------|-----|-----|-------|---------|-------------|-----------|
+|gpu-su-v100.1  |1    |1    |24     |96       |20           |$0.902     |
+|gpu-su-v100.1m |2    |2    |48     |192      |20           |TBD        |
 
 !!! question "NERC IaaS Storage Tiers Cost"
-    **OpenStack Swift (object storage):** Provided from NESE collaboration at
-    $0.006 GB / mo
-
-    **Cinder (block storage/ volumes):** Provide from NESE collaboration at
-    $0.006 GB / mo
+    Storage both **OpenStack Swift (object storage)** and
+    **Cinder (block storage/ volumes)** are charged separately at a rate of
+    $0.009 TB/hr or $9.00E-12 KB/hr at a granularity of KB/hr.
 
 ---
diff --git a/docs/openstack/create-and-connect-to-the-VM/launch-a-VM.md b/docs/openstack/create-and-connect-to-the-VM/launch-a-VM.md
@@ -55,7 +55,7 @@ is 1.
     Customers can also upload their own custom images, as documented in
     [this documentation](../advanced-openstack-topics/setting-up-your-own-images/how-to-build-windows-image.md).**
 
-- **Flavor** tab: Specify the size of the instance to launch. Choose `cpu-a.4`
+- **Flavor** tab: Specify the size of the instance to launch. Choose `cpu-su.4`
 from the 'Flavor' tab by clicking on the "+" icon.
 
 !!! question "Important Note"
@@ -71,7 +71,7 @@ from the 'Flavor' tab by clicking on the "+" icon.
     **More details about available flavors and corresponding quotas
     details can be found [here](flavors.md).**
 
-After choosing `cpu-a.4`, you should see it moved up to "Allocated".
+After choosing `cpu-su.4`, you should see it moved up to "Allocated".
 
 ![VM Launch Instance Flavor](images/launch_flavor.png)
 

diff --git a/docs/other-tools/kubernetes/k0s.md b/docs/other-tools/kubernetes/k0s.md
@@ -18,7 +18,7 @@ We will need 1 VM to create a single node kubernetes cluster using `k0s`.
 We are using following setting for this purpose:
 
 - 1 Linux machine, ubuntu-22.04-x86_64 or your choice of Ubuntu OS image,
-cpu-a.2 flavor with 2vCPU, 4GB RAM, 20GB - also [assign Floating IP](../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
+cpu-su.2 flavor with 2vCPU, 8GB RAM, 40GB - also [assign Floating IP](../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
  to this VM.
 - setup Unique hostname to the machine using the following command:
 

diff --git a/docs/other-tools/kubernetes/k3s/k3s.md b/docs/other-tools/kubernetes/k3s/k3s.md
@@ -28,10 +28,10 @@ control-plane kubernetes cluster using `k3s`. We are using following setting
 for this purpose:
 
 - 1 Linux machine for master, ubuntu-22.04-x86_64 or your choice of Ubuntu OS image,
-cpu-a.2 flavor with 2vCPU, 4GB RAM, 20GB storage - also [assign Floating IP](../../../openstack/../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
+cpu-su.2 flavor with 2vCPU, 8GB RAM, 40GB storage - also [assign Floating IP](../../../openstack/../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
  to the master node.
 - 2 Linux machines for worker, ubuntu-22.04-x86_64 or your choice of Ubuntu OS image,
-cpu-a.1 flavor with 1vCPU, 2GB RAM, 20GB storage.
+cpu-su.1 flavor with 1vCPU, 4GB RAM, 20GB storage.
 - ssh access to all machines: [Read more here](../../../openstack/../openstack/create-and-connect-to-the-VM/bastion-host-based-ssh/index.md)
 on how to setup SSH to your remote VMs.
 

diff --git a/docs/other-tools/kubernetes/kind.md b/docs/other-tools/kubernetes/kind.md
@@ -5,8 +5,8 @@
 We will need 1 VM to create a single node kubernetes cluster using `kind`.
 We are using following setting for this purpose:
 
-- 1 Linux machine, centos-7-x86_64, cpu-a.2 flavor with 2vCPU, 4GB RAM,
-20GB storage - also [assign Floating IP](../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
+- 1 Linux machine, centos-7-x86_64, cpu-su.2 flavor with 2vCPU, 8GB RAM,
+40GB storage - also [assign Floating IP](../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
  to this VM.
 - setup Unique hostname to the machine using the following command:
 

diff --git a/docs/other-tools/kubernetes/kubeadm/HA-clusters-with-kubeadm.md b/docs/other-tools/kubernetes/kubeadm/HA-clusters-with-kubeadm.md
@@ -23,12 +23,12 @@ multi-master kubernetes cluster using `kubeadm`. You are going to use the
 following set up for this purpose:
 
 - 2 Linux machines for master, ubuntu-20.04-x86_64 or your choice of Ubuntu OS image,
-cpu-a.2 flavor with 2vCPU, 4GB RAM, 20GB storage.
+cpu-su.2 flavor with 2vCPU, 8GB RAM, 40GB storage.
 - 2 Linux machines for worker, ubuntu-20.04-x86_64 or your choice of Ubuntu OS image,
-cpu-a.1 flavor with 1vCPU, 2GB RAM, 20GB storage - also [assign Floating IPs](../../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
+cpu-su.1 flavor with 1vCPU, 4GB RAM, 20GB storage - also [assign Floating IPs](../../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
  to both of the worker nodes.
 - 1 Linux machine for loadbalancer, ubuntu-20.04-x86_64 or your choice of Ubuntu
-OS image, cpu-a.1 flavor with 1vCPU, 2GB RAM, 20GB storage.
+OS image, cpu-su.1 flavor with 1vCPU, 4GB RAM, 20GB storage.
 - ssh access to all machines:  [Read more here](../../../openstack/create-and-connect-to-the-VM/bastion-host-based-ssh/index.md)
 on how to setup SSH to your remote VMs.
 - Create 2 security groups with appropriate [ports and protocols](https://kubernetes.io/docs/reference/ports-and-protocols/):

diff --git a/docs/other-tools/kubernetes/kubeadm/single-master-clusters-with-kubeadm.md b/docs/other-tools/kubernetes/kubeadm/single-master-clusters-with-kubeadm.md
@@ -19,10 +19,10 @@ We will need 1 control-plane(master) and 2 worker node to create a single
 control-plane kubernetes cluster using `kubeadm`. We are using following setting
 for this purpose:
 
-- 1 Linux machine for master, ubuntu-20.04-x86_64, cpu-a.2 flavor with 2vCPU,
-4GB RAM, 20GB storage.
-- 2 Linux machines for worker, ubuntu-20.04-x86_64, cpu-a.1 flavor with 1vCPU,
- 2GB RAM, 20GB storage - also [assign Floating IPs](../../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
+- 1 Linux machine for master, ubuntu-20.04-x86_64, cpu-su.2 flavor with 2vCPU,
+8GB RAM, 40GB storage.
+- 2 Linux machines for worker, ubuntu-20.04-x86_64, cpu-su.1 flavor with 1vCPU,
+ 4GB RAM, 20GB storage - also [assign Floating IPs](../../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
  to both of the worker nodes.
 - ssh access to all machines: [Read more here](../../../openstack/create-and-connect-to-the-VM/bastion-host-based-ssh/index.md)
 on how to setup SSH to your remote VMs.

diff --git a/docs/other-tools/kubernetes/kubespray.md b/docs/other-tools/kubernetes/kubespray.md
@@ -7,13 +7,13 @@ control-plane kubernetes cluster using `Kubespray`. We are using following setti
 for this purpose:
 
 - 1 Linux machine for Ansible master, ubuntu-22.04-x86_64 or your choice of Ubuntu
-OS image, cpu-a.2 flavor with 2vCPU, 4GB RAM, 20GB.
+OS image, cpu-su.2 flavor with 2vCPU, 8GB RAM, 40GB.
 - 1 Linux machine for master, ubuntu-22.04-x86_64 or your choice of Ubuntu
-OS image, cpu-a.2 flavor with 2vCPU, 4GB RAM, 20GB -
+OS image, cpu-su.2 flavor with 2vCPU, 8GB RAM, 40GB -
 also [assign Floating IP](../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
 to the master node.
 - 1 Linux machines for worker, ubuntu-22.04-x86_64 or your choice of Ubuntu
-OS image, cpu-a.1 flavor with 1vCPU, 2GB RAM, 20GB storage.
+OS image, cpu-su.1 flavor with 1vCPU, 4GB RAM, 20GB storage.
 - ssh access to all machines: [Read more here](../../openstack/create-and-connect-to-the-VM/bastion-host-based-ssh/index.md)
 on how to setup SSH to your remote VMs.
 - To allow SSH from **Ansible master** to all **other nodes**: [Read more here](../../openstack/create-and-connect-to-the-VM/ssh-to-cloud-VM/#adding-other-peoples-ssh-keys-to-the-instance)

diff --git a/docs/other-tools/kubernetes/microk8s.md b/docs/other-tools/kubernetes/microk8s.md
@@ -6,7 +6,7 @@ We will need 1 VM to create a single node kubernetes cluster using `microk8s`.
 We are using following setting for this purpose:
 
 - 1 Linux machine, ubuntu-22.04-x86_64 or your choice of Ubuntu OS image,
-cpu-a.2 flavor with 2vCPU, 4GB RAM, 20GB storage - also [assign Floating IP](../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
+cpu-su.2 flavor with 2vCPU, 8GB RAM, 40GB storage - also [assign Floating IP](../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
  to this VM.
 - setup Unique hostname to the machine using the following command:
 

diff --git a/docs/other-tools/kubernetes/minikube.md b/docs/other-tools/kubernetes/minikube.md
@@ -15,7 +15,7 @@ We will need 1 VM to create a single node kubernetes cluster using `minikube`.
 We are using following setting for this purpose:
 
 - 1 Linux machine for master, ubuntu-22.04-x86_64 or your choice of Ubuntu OS image,
-cpu-a.2 flavor with 2vCPU, 4GB RAM, 20GB storage - also [assign Floating IP](../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
+cpu-su.2 flavor with 2vCPU, 8GB RAM, 40GB storage - also [assign Floating IP](../../openstack/create-and-connect-to-the-VM/assign-a-floating-IP.md)
  to this VM.
 - setup Unique hostname to the machine using the following command: