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Choose a cloud PC for AI Agent workflows

First identify where your Agent executes tasks. Then assess operating-system access, application permissions, persistence, saved files and model-service costs.

STEP 1

Locate the execution environment

A desktop client, an Agent platform's own hosted workspace and an API controlling another device are different setups. A service with its own cloud execution environment may not need an additional rented PC.

STEP 2

Verify the specific Agent

Tencent CVD's official material lists Agent use cases including WorkBuddy. Check the relevant image, account authorisation and networking for the chosen plan. This is a summary of official documentation, not our hands-on test.

STEP 3

Test continuation and recovery

Check installation, interaction with the target software and execution after disconnecting. Define how to stop, recover and take over a task. Begin with a small task that does not involve important data.

STEP 4

Budget three separate costs

List the device cost, Agent subscription and model usage separately. Calling a remote model and running inference locally have different hardware requirements. Choose resources for the actual workflow.

Products to investigate

These entries have documented relevance to this use case. They are not a universal compatibility guarantee or a performance ranking.

Official source references