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fix: Unpublish HowTo guide on vGPU-powered servers #279

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1 change: 0 additions & 1 deletion docs/howto/openstack/nova/.pages
Original file line number Diff line number Diff line change
@@ -1,7 +1,6 @@
title: Nova (compute service)
nav:
- new-server.md
- new-vgpu-server.md
- server-group.md
- config-drive.md
- resize-server.md
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9 changes: 3 additions & 6 deletions docs/howto/openstack/nova/new-server.md
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Expand Up @@ -44,9 +44,8 @@ file first](../../getting-started/enable-openstack-cli.md).
_server profile_. Currently, four profiles are available:

* _Generic_,
* _High CPU_,
* _Low Latency Disk_, and
* _GPU_.
* _High CPU_, and
* _Low Latency Disk_.

Selecting one of those gives you access to a subset of all available
[_flavors_](../../../reference/flavors/index.md).
Expand All @@ -60,8 +59,6 @@ file first](../../getting-started/enable-openstack-cli.md).
applications.
* The _Low Latency Disk_ profile is for servers that boot off of a local
low-latency disk.
* The _GPU_ profile is for servers that boot off of a local SSD disk
and, most importantly, have direct access to an NVIDIA vGPU.

We should point out that not _all_ profiles may be available in any
region. Choose the _Generic_ profile for now, which is available in any
Expand All @@ -82,7 +79,7 @@ file first](../../getting-started/enable-openstack-cli.md).
on the server profile you have already selected, the boot target will be
either _Volume_ or _Ephemeral_. More specifically...

* for the _Generic_, _High CPU_, and _GPU_ profiles the boot target is
* for the _Generic_ and _High CPU_ profiles the boot target is
_Volume_, and
* for the _Low Latency Disk_ profile the boot target is _Ephemeral_.

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199 changes: 0 additions & 199 deletions docs/howto/openstack/nova/new-vgpu-server.md

This file was deleted.

7 changes: 0 additions & 7 deletions docs/reference/features/compliant.md
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Expand Up @@ -10,13 +10,6 @@
> :material-close: Feature is not available


## Virtualization

| | Sto1HS | Sto2HS |
| ------------- | ---------------- | --------------------- |
| [Virtual GPU](../flavors/index.md#compute-tiers) | :material-timer-sand: | :material-timer-sand: |


## Block storage

| | Sto1HS | Sto2HS |
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1 change: 0 additions & 1 deletion docs/reference/features/public.md
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Expand Up @@ -18,7 +18,6 @@
## Virtualization
| | Kna1 | Sto2 | Fra1 | Dx1 | Tky1 |
| ------------- | ---------------- | --------------------- | ---------------- | ---------------- | ---------------- |
| [Virtual GPU](../../howto/openstack/nova/new-vgpu-server.md) | :material-timer-sand: | :material-timer-sand: | :material-close: | :material-close: | :material-close: |
| [Physical CPUs](../flavors/index.md#compute-tiers) | :material-close: | :material-timer-sand: | :material-close: | :material-close: | :material-close: |


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3 changes: 0 additions & 3 deletions docs/reference/flavors/index.md
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Expand Up @@ -45,9 +45,6 @@ general-purpose compute instance with 4 cores and 32 GiB RAM.
latency for I/O intensive applications, but instances launched with
these flavors must configure their own high availability and data
replication.
* `g`: Virtual GPU. Instances launched with matching flavors have
access to a
[GPU](https://en.wikipedia.org/wiki/Graphics_processing_unit).
* `c`: Physical CPUs. Instances launched with matching flavors will be
assigned physical CPU cores, rather then virtual ones. These flavors
are recommended for CPU-intensive workloads, or when there is a
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8 changes: 0 additions & 8 deletions docs/reference/images/index.md
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Expand Up @@ -17,16 +17,8 @@ Image names in {{brand}} follow a convention, which can be summarized as `${NAME
* `NAME`: Operating system name, such as `Ubuntu`, `Debian`, `Rocky`, etc.
* `VERSION_ID`: Operating system version, as in `22.04`, `11`, `9`, etc.
* `CODENAME`: Operating system codename, if present, like `Jammy Jellyfish`, `Bullseye`, etc.
Modified codenames may reflect that some images serve special purposes, such as vGPU support.
See below for details.
* `ARCH`: Platform architecture for which the operating system was built, for example: `x86_64`, `aarch64`, etc.

### Special codenames

* `NVGRID`: Images with `NVGRID` in the codename include pre-installed Nvidia GRID drivers and license files.
These images allow you to use [CUDA](https://en.wikipedia.org/wiki/CUDA), and enable other computational features of vGPUs.
You should use these images together with [flavors](../flavors/index.md) using the `g` [compute tier](../flavors/index.md#Compute_tiers).

## Tags and properties

Each public image is assigned a specific set of tags and properties.
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