Google Cloud Committed Use
Shares tags: pricing & licensing, discounts & credits, commit/enterprise credits
AI Tool
Maximize Your AI Potential with Committed Use Discounts
Achieve up to 40% savings on model serving using Vertex AI with Google Cloud.
Significant savings on compute costs with long-term commitmentsFlexibility across multiple Google Cloud services for increased savingsEffortless tracking and management of your commitments
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Pricing & LicensingDiscounts & CreditsCommit/Enterprise Credits
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overview
What Are Committed Use Discounts?
Committed Use Discounts (CUDs) are designed to help businesses reduce their costs on Google Cloud services by committing to a usage plan over a specified period. Leveraging these discounts for Vertex AI can yield substantial savings on model serving and compute resources.
- Achieve up to 46% off on-demand pricing for longer commitments
- Applicable to both prediction and training workloads
- Ideal for enterprises with predictable usage patterns
features
Key Features of CUDs for Vertex AI
Google Cloud's Committed Use Discounts come with several features aimed at providing cost efficiency and flexibility. With dedicated tracking tools, you can ensure that your commitments align accurately with usage trends.
- Automatic discount application for eligible resources
- Comprehensive tracking tools for usage and savings
- Flexibility to adjust commitments based on real usage data
use_cases
Who Can Benefit from CUDs?
CUDs are particularly beneficial for organizations that have stable and ongoing compute requirements, such as those involved in large-scale AI model training or continuous online deployments. They allow teams to effectively manage budgets through predictable costs.
- Ideal for enterprises running consistent workloads
- Supports organizations focused on budget optimization
- Perfect for long-term AI projects with ongoing resource needs
Frequently Asked Questions
How much can I save with Committed Use Discounts?
By committing to longer terms, you can save up to 46% compared to on-demand pricing, making it a cost-effective choice for predictable workloads.
Are CUDs applicable to all Google Cloud services?
CUDs are now applicable to a broader range of Google Cloud services, including Compute Engine, Google Kubernetes Engine, Cloud Run, and Vertex AI, maximizing your savings opportunities.
How do I track my discounts and commitments?
Google Cloud provides dedicated recommendations and tracking tools to help manage your CUDs, ensuring you can optimize your savings based on real usage data.