Merge pull request #6885 from EnterpriseDB/release-2025-06-13b

Release 2025-06-13b

Author: djw-m

advocacy_docs/edb-postgres-ai/ai-accelerator/models/index.mdx

@@ -15,7 +15,7 @@ Pipelines has a model registry that manages configured instances of models. Any
 * How to [create models](./using-models) in Pipelines.
 * Discover the [primitives](./primitives) that can be used to interact with models.
 * See the [supported models](./supported-models) that come with Pipelines.
-* Using [models with OpenAI API-compatible services and Nvidia NIM](using-with) with Pipelines.
+* Using [models with OpenAI API-compatible services and NVIDIA NIM](using-with) with Pipelines.
 
 ## Next steps
 

advocacy_docs/edb-postgres-ai/ai-accelerator/models/supported-models/nim_clip.mdx

@@ -48,4 +48,4 @@ The following configuration settings are available for CLIP models:
 
 The following credentials are required if executing inside NVIDIA NGC:
 
-* `api_key` — The NVIDIA Cloud API key to use for authentication.
+* `api_key` — The NVIDIA NGC API key to use for authentication.

advocacy_docs/edb-postgres-ai/ai-accelerator/models/supported-models/nim_paddle_ocr.mdx

@@ -44,4 +44,4 @@ The following configuration settings are available for PADDLE_OCR models:
 
 The following credentials are required if executing inside NVIDIA NGC:
 
-* `api_key` — The NVIDIA Cloud API key to use for authentication.
+* `api_key` — The NVIDIA NGC API key to use for authentication.

advocacy_docs/edb-postgres-ai/ai-accelerator/models/using-with/index.mdx

@@ -1,13 +1,13 @@
 ---
 title: Using models with...
 navTitle: Using models with...
-description: How to use OpenAI-compatible and Nvidia NIM models with AI Accelerator Pipelines.
+description: How to use OpenAI-compatible and NVIDIA NIM models with AI Accelerator Pipelines.
 ---
 
 This section describes some particular ways to use models with AI Accelerator Pipelines.
-These techniques show how to use API-compatible services, running locally or in the cloud, with Pipelines and how to make use of Nvidia NIM models.
+These techniques show how to use API-compatible services, running locally or in the cloud, with Pipelines and how to make use of NVIDIA NIM models.
 
 * [OpenAI API-compatible services](openai-api-compatibility) with Pipelines.
-* [Nvidia NIM models](using-nvidia-nim) with Pipelines.
-  * [In the Nvidia cloud](using-nvidia-nim/using-nim-in-nvidia-cloud)
+* [NVIDIA NIM models](using-nvidia-nim) with Pipelines.
+  * [In the NVIDIA NGC](using-nvidia-nim/using-nim-in-nvidia-ngc)
   * [In your environment](using-nvidia-nim/using-nim-in-your-environment)

advocacy_docs/edb-postgres-ai/ai-accelerator/models/using-with/using-nvidia-nim/index.mdx

@@ -1,12 +1,12 @@
 ---
-title: Using Nvidia NIM models
-navTitle: Nvidia NIM models
-description: How to use Nvidia NIM models, either in your own environment or in the Nvidia cloud, with AI Accelerator Pipelines.
+title: Using NVIDIA NIM models
+navTitle: NVIDIA NIM models
+description: How to use NVIDIA NIM models, either in your own environment or in the NVIDIA NGC, with AI Accelerator Pipelines.
 ---
 
-You can use Nvidia NIM models with AI Accelerator. The models can run in the Nvidia cloud or in your environment under your control.
+You can use NVIDIA NIM models with AI Accelerator. The models can run in the NVIDIA NGC or in your environment under your control.
 
-You can learn how to use Nvidia NIM models with AI Accelerator in both scenarios:
+You can learn how to use NVIDIA NIM models with AI Accelerator in both scenarios:
 
-* [In the Nvidia cloud](using-nim-in-nvidia-cloud)
+* [In the NVIDIA NGC](using-nim-in-nvidia-ngc)
 * [In your environment](using-nim-in-your-environment)

advocacy_docs/edb-postgres-ai/ai-accelerator/models/using-with/using-nvidia-nim/using-nim-in-nvidia-cloud.mdx renamed to advocacy_docs/edb-postgres-ai/ai-accelerator/models/using-with/using-nvidia-nim/using-nim-in-nvidia-ngc.mdx

@@ -1,21 +1,21 @@
 ---
-title: Using Nvidia NIM models in the Nvidia cloud
-navTitle: In the Nvidia cloud
-description: Learn how to use Nvidia NIM models in the Nvidia cloud, hosted by Nvidia.
+title: Using NVIDIA NIM models in the NVIDIA NGC
+navTitle: In the NVIDIA NGC
+description: Learn how to use NVIDIA NIM models in the NVIDIA NGC (build.nvidia.com), hosted by NVIDIA.
 ---
 
 
-To use a Nvidia NIM that's hosted in Nvidia's cloud, you first need to select a model to use. This tutorial uses the Nvidia NIM model llama-3.3-70b-instruct.
+To use a NVIDIA NIM that's hosted in NVIDIA's NGC, you first need to select a model to use. This tutorial uses the NVIDIA NIM model llama-3.3-70b-instruct.
 
 ## Prerequisites
 
-* An Nvidia NGC account. (If you don't have one, you can create one [here](https://build.nvidia.com/explore/discover/).)
+* An NVIDIA NGC account. (If you don't have one, you can create one [here](https://build.nvidia.com/explore/discover/).)
 
-## Configuring the Nvidia cloud
+## Configuring the NVIDIA NGC
 
 ### 1. Select a model
 
-Choose a model from [Nvidia's model library](https://build.nvidia.com/models). This example uses the [llama-3.3-70b-instruct](https://build.nvidia.com/meta/llama3-70b) model.
+Choose a model from [NVIDIA's model library](https://build.nvidia.com/models). This example uses the [llama-3.3-70b-instruct](https://build.nvidia.com/meta/llama3-70b) model.
 
 ### 2. Generate an API Key
 
@@ -58,4 +58,4 @@ __OUTPUT__
      As the clock struck midnight, a single tear fell from the porcelain doll's glassy eye.
 ```
 
-Your output may vary. You've successfully used Nvidia NIM models, running on Nvidia's cloud, integrated with AI Accelerator.
+Your output may vary. You've successfully used NVIDIA NIM models, running on NVIDIA's NGC, integrated with AI Accelerator.

advocacy_docs/edb-postgres-ai/ai-accelerator/models/using-with/using-nvidia-nim/using-nim-in-your-environment.mdx

@@ -1,21 +1,21 @@
 ---
-title: Using Nvidia NIM model in your environment
+title: Using NVIDIA NIM model in your environment
 navTitle: In your environment
-description: Learn how to use Nvidia NIM models in your environment, locally or in your private cloud.
+description: Learn how to use NVIDIA NIM models in your environment, locally or in your private cloud.
 ---
 
-To use a Nvidia NIM that's hosted in your own environment, you first need an instance of the model. This tutorial shows how to configure an AWS-hosted instance with the Nvidia NIM model. It uses the Nvidia NIM model llama3-8b-instruct.
+To use a NVIDIA NIM that's hosted in your own environment, you first need an instance of the model. This tutorial shows how to configure an AWS-hosted instance with the NVIDIA NIM model. It uses the NVIDIA NIM model llama3-8b-instruct.
 
 ## Prerequisites
 
-* A system capable of running Nvidia CUDA Toolkit. For this tutorial, we recommend using an **EC2 g5.8xlarge instance** with **1024 GB of gp3 storage** running **Ubuntu 24.04 LTS**, although smaller instance sizes may also work.
-* A Nvidia NGC account. (If you don't have one, you can create one [here](https://build.nvidia.com/explore/discover/).)
+* A system capable of running NVIDIA CUDA Toolkit. For this tutorial, we recommend using an **EC2 g5.8xlarge instance** with **1024 GB of gp3 storage** running **Ubuntu 24.04 LTS**, although smaller instance sizes may also work.
+* A NVIDIA NGC account. (If you don't have one, you can create one [here](https://build.nvidia.com/explore/discover/).)
 
 ## Configuring the system
 
-### 1. Install Nvidia CUDA Toolkit
+### 1. Install NVIDIA CUDA Toolkit
 
-Download and install the CUDA Toolkit from [Nvidia's official page](https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=24.04&target_type=deb_local).
+Download and install the CUDA Toolkit from [NVIDIA's official page](https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=24.04&target_type=deb_local).
 
 ### 2. Install Docker
 
@@ -26,7 +26,7 @@ If your system doesn't have Docker installed, download and install it:
 
 ### 3. Generate an NGC API Key
 
-Obtain an API key from [Nvidia NGC](https://org.ngc.nvidia.com/setup/api-key). This example refers to this key as `<NGC API KEY>`.
+Obtain an API key from [NVIDIA NGC](https://org.ngc.nvidia.com/setup/api-key). This example refers to this key as `<NGC API KEY>`.
 
 Log in to the NGC container registry:
 
@@ -39,13 +39,13 @@ Use the following credentials:
 * Username: `$oauthtoken`
 * Password: `<NGC API KEY>`
 
-### 4. Install Nvidia NGC CLI
+### 4. Install NVIDIA NGC CLI
 
-Download and install the Nvidia NGC CLI from [here](https://org.ngc.nvidia.com/setup/installers/cli).
+Download and install the NVIDIA NGC CLI from [here](https://org.ngc.nvidia.com/setup/installers/cli).
 
 ### 5. Run the NIM Model
 
-Save the following script as a shell script and execute it. (For more information, see [Nvidia's documentation](https://docs.nvidia.com/nim/large-language-models/latest/getting-started.html#serving-models-from-local-assets).) Remember to substitute `<NGC API KEY>` with the API key you generated.
+Save the following script as a shell script and execute it. (For more information, see [NVIDIA's documentation](https://docs.nvidia.com/nim/large-language-models/latest/getting-started.html#serving-models-from-local-assets).) Remember to substitute `<NGC API KEY>` with the API key you generated.
 
 ```shell
 # Choose a container name
@@ -124,4 +124,4 @@ __OUTPUT__
      As the clock struck midnight, a single tear fell from the porcelain doll's glassy eye.
 ```
 
-Your output may vary. You've successfully used Nvidia NIM models via the EDB AI Accelerator.
+Your output may vary. You've successfully used NVIDIA NIM models via the EDB AI Accelerator.

advocacy_docs/edb-postgres-ai/ai-accelerator/rel_notes/ai-accelerator_2.1.1_rel_notes.mdx

@@ -11,7 +11,7 @@ In this release, we add support for Nvida NIM, introduce new model names, and im
 
 ## Highlights
 
-- Support for Nvidia NIM added.
+- Support for NVIDIA NIM added.
 - `embeddings` and `completions` are new model names.
 - Reranking using NIM is now available.
 - Source tables in retriever pipelines now support schemas.

advocacy_docs/edb-postgres-ai/ai-accelerator/rel_notes/src/rel_notes_2.1.1.yml

@@ -5,7 +5,7 @@ date: 3 February 2025
 intro: |
   In this release, we add support for Nvida NIM, introduce new model names, and improve the retriever pipeline.
 highlights: |
- - Support for Nvidia NIM added.
+ - Support for NVIDIA NIM added.
  - `embeddings` and `completions` are new model names.
  - Reranking using NIM is now available.
  - Source tables in retriever pipelines now support schemas.

advocacy_docs/edb-postgres-ai/cloud-service/known_issues/known_issues_pgd.mdx

@@ -10,7 +10,7 @@ redirects:
 These are currently known issues in EDB Postgres Distributed (PGD) on Cloud Service as deployed in distributed high availability clusters. 
 These known issues are tracked in our ticketing system and are expected to be resolved in a future release. 
 
-For general PGD known issues, refer to the [Known Issues](/pgd/latest/known_issues/) and [Limitations](/pgd/latest/planning/limitations/) in the PGD documentation.
+For general PGD known issues, refer to the [Known Issues](/pgd/latest/known_issues/) and [Limitations](/pgd/latest/known_issues/) in the PGD documentation.
 
 ## Management/administration
 

advocacy_docs/edb-postgres-ai/cloud-service/references/distributed_high_availability/pgd_cli_ba.mdx

@@ -29,13 +29,13 @@ sudo yum install edb-pgd5-cli
 
 ### Discovering your database connection string
 
-To connect to your distributed high-availability Cloud Service cluster using the PGD CLI, you need to [discover the database connection string](/pgd/latest/cli/discover_connections/). From your Console:
+To connect to your distributed high-availability Cloud Service cluster using the PGD CLI, you need to [discover the database connection string](/pgd/latest/reference/cli/discover_connections/). From your Console:
 
-1. Log in to the [Cloud Service clusters](https://portal.biganimal.com/clusters) view.
-2. To show only clusters that work with PGD CLI, in the filter, set **Cluster Type** to **Distributed High Availability**.
-3. Select your cluster.
-4. In the view of your cluster, select the **Connect** tab.
-5. Copy the read/write URI from the connection info. This is your connection string.
+1.  Log in to the [Cloud Service clusters](https://portal.biganimal.com/clusters) view.
+2.  To show only clusters that work with PGD CLI, in the filter, set **Cluster Type** to **Distributed High Availability**.
+3.  Select your cluster.
+4.  In the view of your cluster, select the **Connect** tab.
+5.  Copy the read/write URI from the connection info. This is your connection string.
 
 ### Using the PGD CLI with your database connection string
 
@@ -101,7 +101,7 @@ p-w75f4ib1pu-a world             data       3
 
 ### `pgd group set-leader`
 
-`pgd group set-leader` manually changes the write leader of the group and can be used to simulate a [failover](/pgd/latest/quickstart/further_explore_failover).
+`pgd group set-leader` manually changes the write leader of the group and can be used to simulate a [failover](/pgd/5.8/quickstart/further_explore_failover/).
 
 ```
 pgd group p-w75f4ib1pu-a set-leader p-w75f4ib1pu-a-2 --dsn "postgres://edb_admin@p-w75f4ib1pu-a.vmk31wilqpjeopka.biganimal.io:5432/bdrdb?sslmode=require"

advocacy_docs/edb-postgres-ai/cloud-service/references/supported_cluster_types/distributed_highavailability.mdx

@@ -13,7 +13,7 @@ Distributed high-availability clusters support both EDB Postgres Advanced Server
 
 Distributed high-availability clusters contain one or two data groups. Your data groups can contain either three data nodes or two data nodes and one witness node. At any given time, one of these data nodes in each group is the leader and accepts writes, while the rest are referred to as [shadow nodes](/pgd/latest/terminology/#write-leader). We recommend that you don't use two data nodes and one witness node in production unless you use asynchronous [commit scopes](/pgd/latest/reference/commit-scopes/commit-scopes/). 
 
-[PGD Proxy](/pgd/latest/routing/proxy) routes all application traffic to the leader node, which acts as the principal write target to reduce the potential for data conflicts. PGD Proxy leverages a distributed consensus model to determine availability of the data nodes in the cluster. On failure or unavailability of the leader, PGD Proxy elects a new leader and redirects application traffic. Together with the core capabilities of EDB Postgres Distributed, this mechanism of routing application traffic to the leader node enables fast failover and switchover.
+[PGD Proxy](/pgd/5.8/routing/proxy/) routes all application traffic to the leader node, which acts as the principal write target to reduce the potential for data conflicts. PGD Proxy leverages a distributed consensus model to determine availability of the data nodes in the cluster. On failure or unavailability of the leader, PGD Proxy elects a new leader and redirects application traffic. Together with the core capabilities of EDB Postgres Distributed, this mechanism of routing application traffic to the leader node enables fast failover and switchover.
 
 The witness node/witness group doesn't host data but exists for management purposes. It supports operations that require a consensus, for example, in case of an availability zone failure. 
 
@@ -69,7 +69,7 @@ When you enable the read-only workloads option during the cluster creation, a re
 
 If you have more than one data group, you can choose whether to enable the read-only workloads option on a per-data-group basis. 
 
-Since the infrastructure of a distributed high-availability cluster is almost entirely based on EDB Postgres Distributed, the same [PGD Proxy read-only routing rules](/pgd/latest/routing/readonly/) apply.
+Since the infrastructure of a distributed high-availability cluster is almost entirely based on EDB Postgres Distributed, the same [PGD Proxy read-only routing rules](/pgd/5.8/routing/readonly/) apply.
 
 !!! Important