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Determined AI uses custom pricing as of July 2026 with 2 plans available. Contact Determined AI directly for a personalized quote. Plan: Open Source (free). Enterprise pricing is available on request. Pricing depends on your chosen tier, contract length, and negotiated discounts.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: Yes

Determined AI offers 2 pricing tiers: Open Source, Enterprise (HPE MLDE). The Enterprise (HPE MLDE) plan is enterprises running hpe infrastructure or requiring enterprise support, slas, and professional services.

Last verified: | Sources: 1 pricing pages and reviews
+70% above list price
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Determined AI has a free plan; paid plans are priced by quote, but hidden costs like implementation and support still add to the total as of July 2026. For a 25-person team, expect ~$0 in year-one costs vs the $0 base license. Key hidden costs: infrastructure costs, human capital costs, data preparation and management. Verified from 1 sources by CostBench.

Hidden Costs Breakdown

1

Infrastructure Costs

high implementation

The underlying infrastructure for self-hosted open-source MLOps software, including compute instances, managed SQL databases, and object storage, represents a major expense.

industry

large at approximately $70/month), managed SQL databases for metadata (e.g., AWS RDS at around $123/month), and object storage for artifacts (e.g., AWS S3 at about $23/month per terabyte)

2

Human Capital Costs

critical implementation

Setting up and maintaining an MLOps platform requires specialized engineering expertise and is frequently the largest and most underestimated expense.

industry

Senior AI engineers' salaries average around $212,928 in 2025, with specialized skills commanding a 25-45% premium over traditional software engineering roles, and can reach $300,000-$500,000 in total annual compensation

3

Data Preparation and Management

high implementation

Data readiness, including cleaning, standardizing, and validating data, is a critical and often underestimated factor.

industry

Data Preparation and Management: Data readiness is a critical and often underestimated factor, consuming 50-70% of project time and 15-35% of project costs

4

Integration Complexity

medium implementation

Integrating MLOps platforms with existing systems can add hidden costs due to issues like lack of APIs, undocumented interfaces, and incompatible data models.

industry

Integration Complexity: Integrating MLOps platforms with existing systems can add 10-20% in hidden costs due to a lack of APIs, undocumented interfaces, incompatible data models, and performance constraints requiring custom integration work

5

Ongoing Maintenance and Retraining

high support

AI models degrade over time, requiring continuous monitoring and periodic retraining, which incurs ongoing costs.

industry

Ongoing Maintenance and Retraining: AI models are not static; they degrade over time due to data and concept drift, requiring continuous monitoring and periodic retraining

6

Operational Overhead

high overage

This includes ongoing expenses like network bandwidth, security, and general maintenance, where idle AI endpoints can incur significant monthly costs.

industry

Operational Overhead: This includes ongoing expenses like network bandwidth, security, and general maintenance

7

Regulatory Compliance and Governance

medium compliance

Ensuring data privacy, security, and compliance with regulations adds costs for additional security measures, regular audits, and continuous monitoring.

industry

Regulatory Compliance and Governance: Ensuring data privacy, security, and compliance with regulations (e.g., GDPR, CCPA) adds costs for additional security measures, regular audits, and continuous monitoring

Example: True Cost for 25 Users

License (25 × $0 × 12) $0/yr
Infrastructure Costs +AWS EC2 m5.large at approximately $70/month, AWS RDS at around $123/month, AWS S3 at about $23/month per terabyte
Human Capital Costs +50 engineering hours for a basic MLflow setup, Senior AI engineers' salaries average around $212,928 in 2025, 25-45% premium over traditional software engineering roles, can reach $300,000-$500,000 in total annual compensation, 40-60% of total AI project budgets
Data Preparation and Management +50-70% of project time, 15-35% of project costs, $0.10-$5.00 per data point for data labeling, $60 out of every $100 spent on AI projects
Integration Complexity +10-20%
Ongoing Maintenance and Retraining +15-30% of infrastructure costs annually, $5,000 to $50,000 per retraining cycle
Operational Overhead +$500 to $23,000 monthly
Regulatory Compliance and Governance +10-20% to total project costs
Estimated Year 1 Total ~$0
That's roughly 1.7× the advertised license price.

Frequently Asked Questions

01 What hidden costs should I budget for with Determined AI?

Beyond the license fee, budget for: Infrastructure Costs (AWS EC2 m5.large at approximately $70/month, AWS RDS at around $123/month, AWS S3 at about $23/month per terabyte); Human Capital Costs (50 engineering hours for a basic MLflow setup, Senior AI engineers' salaries average around $212,928 in 2025, 25-45% premium over traditional software engineering roles, can reach $300,000-$500,000 in total annual compensation, 40-60% of total AI project budgets); Data Preparation and Management (50-70% of project time, 15-35% of project costs, $0.10-$5.00 per data point for data labeling, $60 out of every $100 spent on AI projects); Integration Complexity (10-20%); Ongoing Maintenance and Retraining (15-30% of infrastructure costs annually, $5,000 to $50,000 per retraining cycle); Operational Overhead ($500 to $23,000 monthly); Regulatory Compliance and Governance (10-20% to total project costs). Total ownership typically runs 70% higher than the listed price.

02 Does Determined AI charge for implementation?

Determined AI implementation is not included in the license cost. The underlying infrastructure for self-hosted open-source MLOps software, including compute instances, managed SQL databases, and object storage, represents a major expense.. Estimated impact: AWS EC2 m5.large at approximately $70/month, AWS RDS at around $123/month, AWS S3 at about $23/month per terabyte.

03 How much does Determined AI support cost?

AI models degrade over time, requiring continuous monitoring and periodic retraining, which incurs ongoing costs.. Estimated impact: 15-30% of infrastructure costs annually, $5,000 to $50,000 per retraining cycle.

04 Are there overage or storage costs with Determined AI?

This includes ongoing expenses like network bandwidth, security, and general maintenance, where idle AI endpoints can incur significant monthly costs.. Estimated impact: $500 to $23,000 monthly.

05 What add-ons cost extra with Determined AI?

Add-on pricing for Determined AI varies by feature. The sourced cost breakdown above lists any verified add-on costs we have.

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