Regional availability of services and features
Cloud Pak for Data as a Service is deployed on a multi-zone region network. The availability of services and features can vary across regional data centers.
View the regional availability for every available service.
For deployments on IBM Cloud:
To access the list of available services, see the Cloud Pak for Data as a Service catalog.
Cloud Pak for Data as a Service services are available in the following regional data centers:
- Dallas (us-south), in Texas US
- Frankfurt (eu-de), in Germany
- London (eu-gb), in England
- Tokyo (jp-tok), in Japan
- Sydney (au-syd), in Australia
- Toronto (ca-tor), in Canada
Core services
| Service | Dallas | Frankfurt | London | Tokyo | Sydney | Toronto |
|---|---|---|---|---|---|---|
| DataStage | ✓ | ✓ | ✓ | ✓ | ||
| IBM Knowledge Catalog | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| watsonx.ai Runtime | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| watsonx.governance | ✓ | ✓ | ✓ | |||
| Data Virtualization | ✓ | ✓ | ✓ | ✓ | ||
| watsonx.ai Studio | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Other services
| Service | Dallas | Frankfurt | London | Tokyo | Sydney | Toronto | Global |
|---|---|---|---|---|---|---|---|
| *Analytics Engine | ✓ | ✓ | ✓ | ✓ | |||
| Analytics Engine Serverless | ✓ | ||||||
| **Cloud Object Storage | ✓ | ||||||
| *Db2 | ✓ | ✓ | ✓ | ✓ | |||
| *Db2 Warehouse | ✓ | ✓ | ✓ | ✓ | |||
| IBM Match 360 | ✓ | ✓ | |||||
| Manta Data Lineage | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
* These services are available in other regions. For more information, see the Cloud Pak for Data as a Service catalog.
** The region for Cloud Object Storage is Global. Cloud Object Storage buckets for workspaces are Regional buckets. For more information, see IBM Cloud docs: Cloud Object Storage endpoints and storage locations.
Regional compliance with information security and privacy standards
| Compliance Program | Service | Dallas | Franfurt | Sydney | Toronto |
|---|---|---|---|---|---|
| SOC1 Type2 | DataStage | ✓ | ✓ | ||
| SOC2 Type2 | DataStage | ✓ | ✓ |
Regional availability of watsonx features
Some features and tools for the watsonx.ai Studio, watsonx.ai Runtime, and watsonx.governance services are not available in every region.
The following table lists the regional availability of features that are not available in all regions. Features that are available in all regions are not listed.
| Feature | Platform/Service | Dallas | Frankfurt | London | Mumbai (AWS) | Sydney | Tokyo | Toronto |
|---|---|---|---|---|---|---|---|---|
| Tuning Studio | watsonx.ai Studio | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| IBM Orchestration Pipelines | watsonx.ai Studio | ✓ | ✓ | ✓ | ✓ | |||
| RStudio | watsonx.ai Studio | ✓ | ✓ | ✓ | ✓ | |||
| Use multibyte characters in user-input fields in Data Refinery. | watsonx.ai Studio | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Custom foundation models | watsonx.ai Runtime | ✓ | ✓ | ✓ | ✓ | |||
| Deploy on demand foundation models | watsonx.ai Runtime | ✓ | ✓ | ✓ | ✓ | |||
Extracting key-value pair data in the |
watsonx.ai Runtime | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Fine tuning models with Low-rank adaptation (LoRA) tuning | watsonx.ai Runtime | ✓ | ✓ | ✓ | ✓ | |||
| Evaluation Studio | watsonx.governance | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Tuned model evaluations | watsonx.governance | ✓ | ✓ | ✓ | ✓ | |||
| Only one instance per region | watsonx.governance | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Integration with Governance console | watsonx.governance | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Regional compliance with information security and privacy standards
Depending on the data center that you work with, different services might comply with different information security and privacy standards. For details, see the Regional compliance with information security and privacy standards table.
| Compliance Program | Service | Dallas | Frankfurt | London | Mumbai (AWS) | Sydney | Tokyo | Toronto |
|---|---|---|---|---|---|---|---|---|
| ISO/IEC 27001 | watsonx.ai Studio (Formerly known as Watson Studio) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ISO/IEC 27001 | watsonx.ai Runtime (Formerly known as Watson Machine Learning) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ISO/IEC 27001 | watsonx.ai | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ISO/IEC 27001 | watsonx.governance | ✓ | ||||||
| ISO/IEC 27017 | watsonx.ai Studio (Formerly known as Watson Studio) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ISO/IEC 27017 | watsonx.ai Runtime (Formerly known as Watson Machine Learning) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ISO/IEC 27017 | watsonx.ai | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ISO/IEC 27017 | watsonx.governance | ✓ | ||||||
| ISO/IEC 27018 | watsonx.ai Studio (Formerly known as Watson Studio) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ISO/IEC 27018 | watsonx.ai Runtime (Formerly known as Watson Machine Learning) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ISO/IEC 27018 | watsonx.ai | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ISO/IEC 27018 | watsonx.governance | ✓ | ||||||
| SOC1 Type2 | watsonx.ai Studio (Formerly known as Watson Studio) | ✓ | ✓ | ✓ | ✓ | |||
| SOC1 Type2 | watsonx.ai Runtime (Formerly known as Watson Machine Learning) | ✓ | ✓ | ✓ | ✓ | |||
| SOC1 Type2 | watsonx.ai | ✓ | ✓ | ✓ | ✓ | |||
| SOC2 Type2 | watsonx.ai Studio (Formerly known as Watson Studio) | ✓ | ✓ | ✓ | ✓ | |||
| SOC2 Type2 | watsonx.ai Runtime (Formerly known as Watson Machine Learning) | ✓ | ✓ | ✓ | ✓ | |||
| SOC2 Type2 | watsonx.ai | ✓ | ✓ | ✓ | ✓ |
Regional availability of foundation models
The regional availability of foundation models varies based on how the model is deployed in watsonx.ai, the model type, and the tasks you perform with the foundation model.
Based on your use case, see:
- Regional availability of provided foundation models that are ready to use
- Regional availability of deploy on demand foundation models
- Regional availability of foundation model tuning
- Regional availability of encoder-only models
Regional availability of provided foundation models that are ready to use
The following table shows the data centers where you can inference the foundation models that are provided by IBM. A checkmark indicates that the model is hosted in the region.
| Model name | Dallas | Frankfurt | London | Mumbai (AWS) | Sydney | Tokyo | Toronto |
|---|---|---|---|---|---|---|---|
| allam-1-13b-instruct | ✓ | ||||||
| elyza-japanese-llama-2-7b-instruct | ✓ | ||||||
| flan-t5-xl-3b | ✓ | ✓ | ✓ | ✓ | |||
| flan-t5-xxl-11b | ✓ | ✓ | ✓ | ✓ | |||
| flan-ul2-20b | ✓ | ✓ | ✓ | ✓ | |||
| granite-3-3-8b-instruct | ✓ | ✓ | ✓ | ||||
| granite-13b-instruct-v2 | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| granite-8b-japanese | ✓ | ||||||
| granite-3-2-8b-instruct | ✓ | ||||||
| granite-3-2b-instruct | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| granite-3-8b-instruct | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| granite-guardian-3-2b | ✓ | ✓ | |||||
| granite-guardian-3-8b | ✓ | ✓ | ✓ | ||||
| granite-3b-code-instruct | ✓ | ||||||
| granite-8b-code-instruct | ✓ | ✓ | ✓ | ||||
| granite-20b-code-instruct | ✓ | ✓ | |||||
| granite-34b-code-instruct | ✓ | ✓ | |||||
| granite-vision-3-2-2b | ✓ | ||||||
| jais-13b-chat | ✓ | ||||||
| llama-4-maverick-17b-128e-instruct-fp8 | ✓ | ✓ | ✓ | ||||
| llama-4-scout-17b-16e-instruct | ✓ | ✓ | ✓ | ||||
| llama-3-3-70b-instruct | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| llama-3-2-1b-instruct | ✓ | ||||||
| llama-3-2-3b-instruct | ✓ | ||||||
| llama-3-2-11b-vision-instruct | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| llama-3-2-90b-vision-instruct | ✓ | ✓ | ✓ | ✓ | |||
| llama-guard-3-11b-vision | ✓ | ✓ | |||||
| llama-3-405b-instruct | ✓ | ||||||
| llama-2-13b-chat | ✓ | ✓ | ✓ | ✓ | |||
| mistral-large | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| mistral-medium-2505 | ✓ | ||||||
| mistral-small-3-1-24b-instruct-2503 | ✓ | ✓ | ✓ | ||||
| mistral-small-24b-instruct-2501 | ✓ | ||||||
| mixtral-8x7b-instruct-v01 | ✓ | ✓ | ✓ | ✓ | |||
| pixtral-12b | ✓ | ✓ | ✓ |
Regional availability of deploy on demand foundation models
The following table shows the data centers where you can deploy foundation models on-demand for the dedicated use of your organization. A checkmark indicates that the model is hosted in the region.
| Model name | Dallas | Frankfurt | London | Mumbai (AWS) | Sydney | Tokyo | Toronto |
|---|---|---|---|---|---|---|---|
| granite-3-1-8b-base | ✓ | ✓ | ✓ | ✓ | |||
| granite-3-3-8b-instruct | ✓ | ✓ | ✓ | ✓ | |||
| granite-3-3-2b-instruct | ✓ | ✓ | ✓ | ✓ | |||
| granite-3-8b-base | ✓ | ✓ | ✓ | ✓ | |||
| granite-7b-lab | ✓ | ✓ | ✓ | ✓ | |||
| granite-8b-japanese | ✓ | ✓ | ✓ | ✓ | |||
| granite-20b-multilingual | ✓ | ✓ | ✓ | ✓ | |||
| granite-13b-chat-v2 | ✓ | ✓ | ✓ | ✓ | |||
| granite-13b-instruct-v2 | ✓ | ✓ | ✓ | ✓ | |||
| granite-3b-code-instruct | ✓ | ✓ | ✓ | ✓ | |||
| granite-8b-code-instruct | ✓ | ✓ | ✓ | ✓ | |||
| granite-20b-code-instruct | ✓ | ✓ | ✓ | ✓ | |||
| granite-34b-code-instruct | ✓ | ✓ | ✓ | ✓ | |||
| granite-20b-code-base-schema-linking | ✓ | ✓ | ✓ | ✓ | |||
| granite-20b-code-base-sql-gen | ✓ | ✓ | ✓ | ✓ | |||
| allam-1-13b-instruct | ✓ | ✓ | ✓ | ✓ | |||
| codellama-34b-instruct-hf | ✓ | ✓ | ✓ | ✓ | |||
| deepseek-r1-distill-llama-8b | ✓ | ✓ | ✓ | ✓ | |||
| deepseek-r1-distill-llama-70b | ✓ | ✓ | ✓ | ✓ | |||
| eurollm-1-7b-instruct | ✓ | ✓ | ✓ | ✓ | |||
| eurollm-9b-instruct | ✓ | ✓ | ✓ | ✓ | |||
| flan-t5-xl-3b | ✓ | ✓ | ✓ | ✓ | |||
| flan-t5-xxl-11b | ✓ | ✓ | ✓ | ✓ | |||
| flan-ul2-20b | ✓ | ✓ | ✓ | ✓ | |||
| llama-2-13b-chat | ✓ | ✓ | ✓ | ✓ | |||
| llama-2-70b-chat | ✓ | ✓ | ✓ | ✓ | |||
| llama-3-8b-instruct | ✓ | ✓ | ✓ | ✓ | |||
| llama-3-70b-instruct | ✓ | ✓ | ✓ | ✓ | |||
| llama-3-1-8b | ✓ | ✓ | ✓ | ✓ | |||
| llama-3-1-8b-instruct | ✓ | ✓ | ✓ | ✓ | |||
| llama-3-1-70b | ✓ | ✓ | ✓ | ✓ | |||
| llama-3-1-70b-instruct | ✓ | ✓ | ✓ | ✓ | |||
| llama-3-2-11b-vision-instruct | ✓ | ✓ | ✓ | ✓ | |||
| llama-3-3-70b-instruct | ✓ | ✓ | ✓ | ✓ | |||
| llama-3-3-70b-instruct-hf | ✓ | ✓ | ✓ | ✓ | |||
| mistral-large-instruct-2407 | ✓ | ✓ | ✓ | ✓ | |||
| mistral-large-instruct-2411 | ✓ | ✓ | ✓ | ✓ | |||
| mistral-nemo-instruct-2407 | ✓ | ✓ | ✓ | ✓ | |||
| mixtral-8x7b-base | ✓ | ✓ | ✓ | ✓ | |||
| mixtral-8x7b-instruct-v01 | ✓ | ✓ | ✓ | ✓ | |||
| mt0-xxl-13b | ✓ | ✓ | ✓ | ✓ | |||
| poro-34b-chat | ✓ | ✓ | ✓ | ✓ |
Regional availability of foundation model tuning
The following table shows the data centers where tuning a foundation model is supported and the models that can be fine tuned. A checkmark indicates that you can use the Tuning Studio to tune the foundation model in the region.
| Model name | Dallas | Frankfurt | London | Mumbai (AWS) | Sydney | Tokyo | Toronto |
|---|---|---|---|---|---|---|---|
| flan-t5-xl-3b | ✓ | ✓ | ✓ | ✓ | |||
| granite-13b-instruct-v2 | ✓ | ✓ | ✓ | ✓ | ✓ |
Regional availability of encoder-only models
The following table shows the data centers where embedding models and reranker models are available. A checkmark indicates that you can use the model in the region.
| Model | Dallas | Frankfurt | London | Mumbai (AWS) | Sydney | Tokyo | Toronto |
|---|---|---|---|---|---|---|---|
| all-minilm-l6-v2 | ✓ | ✓ | ✓ | ✓ | |||
| all-minilm-l12-v2 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| granite-embedding-107m-multilingual | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| granite-embedding-278m-multilingual | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ms-marco-minilm-l-12-v2 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| multilingual-e5-large | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| slate-125m-english.rtrvr-v2 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| slate-125m-english.rtrvr | ✓ | ✓ | ✓ | ✓ | |||
| slate-30m-english.rtrvr-v2 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| slate-30m-english.rtrvr | ✓ | ✓ | ✓ | ✓ |
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Parent topic: Services and integrations