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Merge pull request #7249 from jddocs/rc-v1.372.0
[Release Candidate] v1.372.0
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docs/guides/kubernetes/deploy-llm-for-ai-inferencing-on-apl/index.md

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authors: ["Akamai"]
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contributors: ["Akamai"]
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published: 2025-03-25
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modified: 2025-04-17
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keywords: ['ai','ai inference','ai inferencing','llm','large language model','app platform','lke','linode kubernetes engine','llama 3','kserve','istio','knative']
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license: '[CC BY-ND 4.0](https://creativecommons.org/licenses/by-nd/4.0)'
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external_resources:
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- Enrollment into the Akamai App Platform's [beta program](https://cloud.linode.com/betas).
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- An provisioned and configured LKE cluster with App Platform enabled. We recommend an LKE cluster consisting of at least 3 RTX4000 Ada x1 Medium [GPU](https://techdocs.akamai.com/cloud-computing/docs/gpu-compute-instances) plans.
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## Set Up Infrastructure
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To learn more about provisioning a LKE cluster with App Platform, see our [Getting Started with App Platform for LKE](https://techdocs.akamai.com/cloud-computing/docs/getting-started-with-akamai-application-platform) guide.
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### Provision an LKE Cluster
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## Set Up Infrastructure
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We recommend provisioning an LKE cluster with [App Platform](https://techdocs.akamai.com/cloud-computing/docs/application-platform) enabled and the following minimum requirements:
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- 3 **8GB Dedicated CPUs** with [autoscaling](https://techdocs.akamai.com/cloud-computing/docs/manage-nodes-and-node-pools#autoscale-automatically-resize-node-pools) turned on
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- A second node pool consisting of at least 2 **RTX4000 Ada x1 Medium [GPU](https://techdocs.akamai.com/cloud-computing/docs/gpu-compute-instances)** plans
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Once your LKE cluster is provisioned and the App Platform web UI is available, complete the following steps to continue setting up your infrastructure.
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docs/guides/kubernetes/deploy-rag-pipeline-and-chatbot-on-apl/index.md

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authors: ["Akamai"]
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contributors: ["Akamai"]
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published: 2025-03-25
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modified: 2025-04-17
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keywords: ['ai','ai inference','ai inferencing','llm','large language model','app platform','lke','linode kubernetes engine','rag pipeline','retrieval augmented generation','open webui','kubeflow']
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license: '[CC BY-ND 4.0](https://creativecommons.org/licenses/by-nd/4.0)'
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## Prerequisites
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- Complete the deployment in the [Deploy an LLM for AI Inferencing with App Platform for LKE](/docs/guides/deploy-llm-for-ai-inferencing-on-apl) guide. An LKE cluster consisting of at least 3 RTX4000 Ada x1 Medium [GPU](https://techdocs.akamai.com/cloud-computing/docs/gpu-compute-instances) nodes is recommended for AI inference workloads.
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- Complete the deployment in the [Deploy an LLM for AI Inferencing with App Platform for LKE](/docs/guides/deploy-llm-for-ai-inferencing-on-apl) guide. Your LKE cluster should include the following minimum hardware requirements:
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- [Python3](https://www.python.org/downloads/) and the [venv](https://docs.python.org/3/library/venv.html) Python module installed on your local machine.
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- 3 **8GB Dedicated CPUs** with [autoscaling](https://techdocs.akamai.com/cloud-computing/docs/manage-nodes-and-node-pools#autoscale-automatically-resize-node-pools) turned on
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- A second node pool consisting of at least 2 **RTX4000 Ada x1 Medium [GPU](https://techdocs.akamai.com/cloud-computing/docs/gpu-compute-instances)** plans
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- [Python3](https://www.python.org/downloads/) and the [venv](https://docs.python.org/3/library/venv.html) Python module installed on your local machine
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## Set Up Infrastructure
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docs/marketplace-docs/guides/_index.md

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- [Rocket.Chat](/docs/marketplace-docs/guides/rocketchat/)
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- [Ruby on Rails](/docs/marketplace-docs/guides/ruby-on-rails/)
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- [Saltcorn](/docs/marketplace-docs/guides/saltcorn/)
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- [SeaTable](/docs/marketplace-docs/guides/seatable/)
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- [Secure Your Server](/docs/marketplace-docs/guides/secure-your-server/)
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- [Shadowsocks](/docs/marketplace-docs/guides/shadowsocks/)
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- [Splunk](/docs/marketplace-docs/guides/splunk/)
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- [Superinsight](/docs/marketplace-docs/guides/superinsight/)
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- [Uptime Kuma](/docs/marketplace-docs/guides/uptime-kuma/)
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- [UTunnel VPN](/docs/marketplace-docs/guides/utunnel/)
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- [Valkey](/docs/marketplace-docs/guides/valkey/)
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- [VictoriaMetrics Single](/docs/marketplace-docs/guides/victoriametrics-single/)
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- [VS Code](/docs/marketplace-docs/guides/vscode/)
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- [WarpSpeed VPN](/docs/marketplace-docs/guides/warpspeed/)
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- [Wazuh](/docs/marketplace-docs/guides/wazuh/)
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- [WireGuard](/docs/marketplace-docs/guides/wireguard/)
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- [WooCommerce](/docs/marketplace-docs/guides/woocommerce/)

docs/marketplace-docs/guides/seatable/index.md

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marketplace_app_id: 1177225
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marketplace_app_name: "SeaTable"
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---
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{{< note type="warning" title="This app is no longer available for deployment" >}}
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SeaTable has been removed from the App Marketplace and can no longer be deployed. This guide is retained for reference only.
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{{< /note >}}
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[SeaTable](https://seatable.io/) is a simple and flexible database management interface with native Python automation support. It is designed to mimic the user-friendly interfaces of common spreadsheet software (like Microsoft Excel and Google Sheets). SeaTable offers advanced data linking capabilities and allows for custom data organization and visualization.
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docs/marketplace-docs/guides/utunnel/index.md

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marketplace_app_id: 925530
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marketplace_app_name: "UTunnel VPN"
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---
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{{< note type="warning" title="This app is no longer available for deployment" >}}
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UTunnel VPN has been removed from the App Marketplace and can no longer be deployed. This guide is retained for reference only.
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{{< /note >}}
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[UTunnel VPN](https://www.utunnel.io/) lets you set up your own private VPN server quickly and easily; no technical expertise is required. It is well suited for small and medium businesses to set up easy and secure remote access for their employees, or for anyone who wants to keep their data private using their own VPN. UTunnel VPN supports multiple VPN protocols and comes with a server management console, secure 256-bit encryption, easy team management, single sign-on, 2-factor authentication, and an inbuilt firewall.
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docs/marketplace-docs/guides/victoriametrics-single/index.md

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marketplace_app_id: 954759
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marketplace_app_name: "VictoriaMetrics"
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---
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{{< note type="warning" title="This app is no longer available for deployment" >}}
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VictoriaMetrics has been removed from the App Marketplace and can no longer be deployed. This guide is retained for reference only.
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{{< /note >}}
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[VictoriaMetrics](https://victoriametrics.com/) is a free [open source time series database](https://en.wikipedia.org/wiki/Time_series_database) (TSDB) and monitoring solution that is designed to collect, store, and process real-time metrics. It supports the [Prometheus](https://en.wikipedia.org/wiki/Prometheus_(software)) pull model and various push protocols ([Graphite](https://en.wikipedia.org/wiki/Graphite_(software)), [InfluxDB](https://en.wikipedia.org/wiki/InfluxDB), OpenTSDB) for data ingestion. It is optimized for storage with high-latency IO, low IOPS, and time series with [high churn rate](https://docs.victoriametrics.com/FAQ.html#what-is-high-churn-rate). For reading the data and evaluating alerting rules, VictoriaMetrics supports the PromQL, [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html), and Graphite query languages.
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docs/marketplace-docs/guides/warpspeed/index.md

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marketplace_app_name: "WarpSpeed"
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{{< note type="warning" title="This app is no longer available for deployment" >}}
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WarpSpeed has been removed from the App Marketplace and can no longer be deployed. This guide is retained for reference only.
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{{< /note >}}
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WarpSpeed makes it easy for developers to access cloud infrastructure via the powerful WireGuard® VPN protocol. It can also be used to enable remote workers to access the internet securely while on public WiFi.
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## Deploying a Marketplace App

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