Leverage our next-generation studio to train, tune, validate and deploy AI models, and fit-for-purpose data store for scaling AI workloads based on an open data lakehouse architecture.
Get started with your governance strategy to direct, manage and monitor your organization’s AI activities.
Check out the different pricing tiers for the watsonx subscription to get started building AI applications for production‐grade use, built on top of our hybrid cloud platform.
watsonx.ai
Model Inference per 1000 Tokens2
ML Tools and ML runtime based on Capacity Unit Hours1
ML functionality (20 CUH/month)1
Inferencing (50000 token limit/month)2
Prompt Lab
Open source models
IBM-developed watsonx models
Synthetic Data Generator
USD 0 per month - Tier fee
ML functionality
Inferencing
Prompt Lab
Open source models
IBM-developed watsonx models
Synthetic Data Generator
Prompt tuning
USD 1050 per month - Tier fee
ML functionality
Inferencing
Prompt Lab
Open source models
IBM-developed watsonx models
Synthetic Data Generator
Prompt tuning
Future availability3:
Model hosting
Bring-your-own-model
watsonx.data
Supporting services - USD 3 per hour
Cache optimized node (16 vCPU w/ 3.8TB NVMe) - USD 2.80 per hour
Compute optimized node - (72 vCPU w/ 1.8TB NVMe) - USD 6.50 per hour
USD 1500 of free credits, usually used in 7-12 days
Hive metastore and Iceberg catalog
Infrastructure manager and query editor
Presto, Spark, Db2 Warehouse, and Netezza integration
Hive metastore and Iceberg catalog
Infrastructure manager and query editor
Presto, Spark, Db2 Warehouse, and Netezza integration
watsonx.governance
Resource Unit1 per
Evaluation2
Global Explanation4
500 Local Explanations5
Evaluations2 are calculations for
Generative AI or ML Quality
LLM or ML Drift
LLM or ML Model Health
ML Fairness
Predictive and Foundational model evaluations, monitoring, lifecycle tracking, and automatic documentation of facts.
Maximum 200 Resource Units1
Maximum 1k records/evaluation2
Maximum to 3 rows/use case
Maximum to 3 use cases
Maximum 500 local explanations per global explanation4
Maximum of 1 inventory
Predictive and Foundational model evaluations, monitoring, lifecycle tracking, and automatic documentation of facts.
Maximum 50k records /evaluation2
Maximum 500 local explanations per global explanation4
Maximum 500 inventories
USD 0.60 / Resource Unit
Future availability3
Watsonx.ai is available as software today. Pricing for watsonx.ai is based on the number of virtual processor cores (VPC). Software capabilities include Essentials SaaS tier.
Watsonx.data is available as software today. Pricing for watsonx.data software is based on the number of virtual processor cores (VPC). Software capabilities include Standard SaaS tier plus bundled IBM Analytics Engine Powered by Apache Spark, IBM Storage Fusion, IBM Storage Ceph, IBM Cloud Pak for Data platform software, Red Hat OpenShift and more.
Watsonx.governance is available as software today. Pricing for watsonx.governance software is based on the number of virtual processor cores (VPC). Software capabilities include Essentials SaaS tier.
Footnotes
1 Capacity Unit Hour pricing depends on the environment and tools utilized within a billing month.
2 For foundation model inference, charges are based on a Resource Unit (RU) metric which is equivalent to 1000 token (including both input and output tokens).
3 IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion.
4 Global Explanation identifies features that have the most impact on the behavior of your model.
5 Local Explanation explains an individual transaction of a predictive ML model.
Unless otherwise specified under Software pricing, all features, capabilities, and potential updates refer exclusively to SaaS. IBM makes no representation that SaaS and software features and capabilities will be the same.
SaaS tiers apply to each platform component individually.