Cara Membatalkan Amazon SageMaker (2026)

Paket Amazon SageMaker dimulai dari US$0,00/bulan. Ikuti panduan 8 langkah kami untuk membatalkan langganan Anda dalam sekitar 20 menit — dengan tips menghindari tawaran retensi.

Diperbarui: April 2026

Amazon SageMaker

dari US$0,00/bulan

(≈ €0,00)

Sulit
Perkiraan Waktu:20 menit
Metode Pembatalan:Website
1

Open SageMaker Console

Go to https://console.aws.amazon.com/sagemaker/ and sign in to your AWS account. SageMaker has no single 'Cancel' button — you must stop and delete each resource type individually to end all charges.

2

Delete Real-Time Inference Endpoints

In the left navigation pane, choose 'Inference' then 'Endpoints'. Select each active endpoint, click the 'Actions' dropdown, choose 'Delete', and confirm. Repeat for 'Endpoint configurations' and 'Models' under Inference. These are the highest-cost resources.

3

Stop and Delete Notebook Instances

Navigate to 'Notebook' → 'Notebook instances'. Select each instance, click 'Actions → Stop', wait for Status to show 'Stopped', then click 'Actions → Delete' and confirm. Note: stopping without deleting still incurs EBS storage charges.

4

Delete Studio Apps and Spaces (SageMaker Studio / JupyterLab)

Go to 'Admin configurations → Domains', click your domain, then the 'Space management' tab. For each space, click the space name, find the app in the 'Apps' section, click 'Delete app', type 'delete' to confirm. Then return to Space management, select the space, click 'Delete', choose 'Yes, delete space', type 'delete', and confirm. Warning: this permanently deletes all notebook data in the space — back up files first.

5

Delete the SageMaker Domain

Still in 'Admin configurations → Domains', click your domain. On the 'User profiles' tab, click each username, delete all remaining apps and spaces, then click 'Delete' (top right of user profile). Once all user profiles are cleared, go to 'Domain settings', scroll to the 'Delete domain' section, click 'Delete domain', and confirm.

6

Cancel AWS Marketplace ML Subscriptions (if applicable)

If you subscribed to any third-party ML algorithms or model packages, go to https://console.aws.amazon.com/marketplace, click 'Manage subscriptions', select the ML subscription, click 'Actions → Cancel subscription', type 'confirm' in the dialog, then click 'Yes, cancel subscription'.

7

Clean Up Associated AWS Resources

Delete remaining billable resources: (1) S3 buckets with model artifacts at https://console.aws.amazon.com/s3/; (2) CloudWatch log groups named '/aws/sagemaker/*' at https://console.aws.amazon.com/cloudwatch/; (3) any detached EFS volumes from the deleted domain. Stop any running Training jobs via 'Training → Training jobs → Actions → Stop'.

8

Verify Zero Ongoing Charges

Go to AWS Cost Explorer at https://console.aws.amazon.com/cost-management/home and check that SageMaker charges have dropped to $0. If unexpected charges persist (especially from Canvas sessions), open an AWS Support case at https://console.aws.amazon.com/support/ requesting a billing review.

FAQ

Pengungkapan Afiliasi: Beberapa tautan di halaman ini mungkin merupakan tautan afiliasi. Jika Anda melakukan pembelian melalui tautan tersebut, Subger dapat memperoleh komisi kecil tanpa biaya tambahan bagi Anda. Ini membantu kami menjaga situs tetap gratis dan terus menyediakan informasi langganan yang akurat. Kami hanya merekomendasikan layanan yang kami yakini memberikan nilai.

Subger tidak berafiliasi dengan, didukung oleh, atau terhubung dengan Amazon SageMaker. Semua merek dagang, merek layanan, dan nama merek adalah milik pemiliknya masing-masing. Informasi di halaman ini disediakan hanya untuk tujuan informasi.

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