docs: Fix Workload panel location and clarify Recent tab on the get-started page#665
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@Promptless The current legacy flow in the docs is very sparse — just 3 bare steps. Here's a full comparison against what the actual console shows: Select a GPU — "Select a GPU from the list of graphics cards." What needs to change: The GPU/CPU tabs at the top Step 2 (Select a template) — wrong scope and label. In the console, "Select a template" isn't a standalone step — it's one field inside the Configure deployment panel that appears after you click a GPU. This step should be renamed to Configure your deployment and expanded to cover the full panel: Pod name (auto-generated, editable) Step 3 (Deploy) — missing prerequisites and review. The current step just says "click Deploy On-Demand." In the console, before that button is enabled, there's a warning: "No network volume has been selected. Please select a network volume above or switch to volume disk." Users need to know to complete the storage step first. There's also a Pricing summary and Pod summary to review before deploying. Can you update the doc as per the suggestions? |
Expand the sparse 3-step legacy deploy flow to match the console: - Select a GPU: GPU/CPU tabs, filter toggles, VRAM slider, search, GPU groups, and card details (price, VRAM, max count, availability). - Rename Select a template to Configure your deployment and cover the full panel (Pod name, Pod template, GPU count, instance pricing, options, storage configuration). - Deploy: note the storage prerequisite warning and the Pricing/Pod summary review before clicking Deploy On-Demand.
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Thanks for the detailed breakdown, @lavanya-gunreddi — I've updated this PR to expand the legacy deployment flow to match the console. Step 1 — Select a GPU (expanded): now covers the GPU/CPU tabs, the filter row (Secure Cloud, Network volume, Any region, Global Networking, Additional filters), the VRAM slider, the search box, the GPU groups (Featured, NVIDIA latest/previous generation, AMD), what each card shows (price/hr, VRAM, max count, availability), and that clicking a card opens the Configure deployment panel. Step 2 — renamed to "Configure your deployment": rescoped from a standalone template step to the full panel that opens after selecting a GPU — Pod name, Pod template (Edit / Change template), GPU count (1–8), Instance pricing (On-Demand vs Reserved / Talk to sales), Options (Encrypt volume, SSH terminal access, Start Jupyter notebook on by default), and Storage configuration (Container disk, then Network volume vs Volume disk). Step 3 — Deploy (expanded): adds the storage prerequisite, including the "No network volume has been selected…" warning that blocks the deploy button, plus the Pricing summary and Pod summary review before clicking Deploy On-Demand. The earlier Workload-panel-location and Recent-tab fixes remain in place. The changes are in the latest commit on this PR — please take a look and let me know if anything needs adjusting. |
| Use this path to launch a Pod from the console. Configure your workload, choose a region and GPU, review the pricing, and deploy. | ||
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| Runpod is rolling out an updated deployment flow through [early access](https://console.runpod.io/user/early-access). Use the tabs below to follow the version that matches what you see in the console. | ||
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@Promptless Add this here: To open the deploy page, click + New in the top-right corner of the console and select Pod.
You can also click **Pods** in the left sidebar. These instructions cover GPU Pod deployment. To deploy a CPU Pod instead, click the **CPU** tab at the top of the deploy page.There was a problem hiding this comment.
@Promptless Remove this text "These instructions cover GPU Pod deployment. To deploy a CPU Pod instead, click the CPU tab at the top of the deploy page."
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@Promptless I want this step to be added before the tabs. Remove the CPU information.
| Select a GPU from the list of graphics cards. | ||
| The deploy page opens to a grid of available GPUs. Use the controls at the top of the grid to narrow the list, then click a card to configure it. | ||
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| - Use the **GPU** and **CPU** tabs at the top to switch between GPU and CPU instances. |
…let in legacy flow
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Thanks @lavanya-gunreddi — both review comments are addressed in this PR:
The branch has been updated and pushed — ready for another look. |
Hoist the '+ New → Pod' instruction and sidebar Tip so they apply to both the early access and legacy flows, and remove the now-redundant block (including the CPU Pod note) from the legacy tab.
| Use this path to launch a Pod from the console. Configure your workload, choose a region and GPU, review the pricing, and deploy. | ||
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| Runpod is rolling out an updated deployment flow through [early access](https://console.runpod.io/user/early-access). Use the tabs below to follow the version that matches what you see in the console. | ||
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@Promptless Remove this text "These instructions cover GPU Pod deployment. To deploy a CPU Pod instead, click the CPU tab at the top of the deploy page."
| Use this path to launch a Pod from the console. Configure your workload, choose a region and GPU, review the pricing, and deploy. | ||
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| Runpod is rolling out an updated deployment flow through [early access](https://console.runpod.io/user/early-access). Use the tabs below to follow the version that matches what you see in the console. | ||
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@Promptless I want this step to be added before the tabs. Remove the CPU information.
| @@ -156,17 +156,45 @@ These instructions describe the early access version of the deployment flow. If | |||
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| <Tab title="Legacy flow"> | |||
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Thanks @lavanya-gunreddi! All three requests were already incorporated in the commits you approved before merge:
No further changes were needed, so we haven't opened a follow-up PR. Let us know if anything still looks off. |
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Corrects the get-started Quickstart to say the Workload panel is at the top of the page (not on the left), and notes that the Recent GPU tab only appears when you have a recent deployment history.
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