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updated the flavor list based on docs
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Milstein committed Aug 7, 2023
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43 changes: 13 additions & 30 deletions docs/openstack/create-and-connect-to-the-VM/flavors.md
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Expand Up @@ -16,8 +16,8 @@ NERC offers the following flavors based on our Infrastructure-as-a-Service
### 1. Standard Compute Tier

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 service unit (SU) is 1
vCPU, 4 GB memory with 20 GB root disk at a rate of $0.013 / hr of wall time.
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 |
|---------------|-----|-----|-------|---------|-------------|-----------|
Expand All @@ -30,7 +30,7 @@ vCPU, 4 GB memory with 20 GB root disk at a rate of $0.013 / hr of wall time.
### 2. Memory Optimized Tier

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 SU is 1 vCPU, 8 GB
**"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 | GPU | vCPU | RAM(GB) | Storage(GB) | Cost / hr |
Expand All @@ -52,46 +52,29 @@ memory with 20 GB root disk at a rate of $0.032 / hr of wall time.
is integrated into a specialized hardware such as GPUs that produce unprecedented
performance boosts for technical computing workloads.

There are three flavors within the GPU tier, one featuring the newer
**NVidia A100s** along with **NVidia V100s** and **NVidia A2s**.
There are two flavors within the GPU tier, one featuring the newer
**NVidia A100s** along with **NVidia V100s**.

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 SU is 24
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 | 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 |

The **"gpu-su-v100"** flavor has base SU of 24 vCPU, 96 GB memory with 20 GB root
disk.

| Flavor | SUs | GPU | vCPU | RAM(GB) | Storage(GB) |
|---------------|-----|-----|-------|---------|-------------|
|gpu-su-v100.1 |1 |1 |24 |96 |20 |
|gpu-su-v100.1m |2 |2 |48 |192 |20 |

!!! danger "Cost will be available soon!"

We will update the cost assiciated with **"gpu-su-v100"** flavor soon!

The **"gpu-su-a2"** flavor is provided from Lenovo SR650 (2x Xenon Gold 6448Y
2.10 GHz, 32 Cores, 512 GB memory, 2x NVidia A2s) servers. The base SU is 6
vCPU, 31 GB memory with 20 GB root disk at a rate of $0.463 / hr of wall time.
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.

| Flavor | SUs | GPU | vCPU | RAM(GB) | Storage(GB) | Cost / hr |
|---------------|-----|-----|-------|---------|-------------|-----------|
|gpu-su-a2.1 |1 |1 |6 |31 |20 |$0.463 |
|gpu-su-a2.2 |2 |2 |12 |62 |40 |$0.926 |
|gpu-su-a2.4 |4 |4 |24 |124 |80 |$1.852 |

!!! warning "The `gpu-su-v100` and `gpu-su-a2` flavor will be available soon."

We are still working on setting up the hardware required to enable the cost-effective
**"gpu-su-v100"** and **"gpu-su-a2"** flavor. We will let you know once it
is ready and available for your general use.
|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"
Storage both **OpenStack Swift (object storage)** and
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