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‎09-17-2025 07:07 AM
 
					
				
		
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‎09-17-2025 07:29 AM
Hi,
The major differences between on-premise and cloud instances in ServiceNow regarding AI capabilities are:
1. Deployment & Updates
- Cloud: AI features (like Now Assist, Predictive Intelligence, AI Search) are automatically enabled and updated by ServiceNow. You get the latest AI innovations without manual upgrades. 
- On-Premise: You must manually install and update AI plugins. This often involves longer delays for new features and requires internal maintenance. 
2. Infrastructure & Scalability
- Cloud: ServiceNow manages all AI infrastructure, including GPU resources for model training/inference. It scales automatically with usage. 
- On-Premise: Your organization must provision and maintain high-performance hardware (e.g., GPUs) and ensure scalability, which can be complex and costly. 
3. Data Governance & Compliance
- Cloud: Data is processed in ServiceNow’s secure data centers. Some organizations may have compliance requirements that restrict cloud data processing. 
- On-Premise: Full control over data residency and governance, which is crucial for highly regulated industries (e.g., government, defense). 
4. Feature Parity
- Cloud: Access to the full suite of AI services (e.g., Now Assist for ITSM, CSM, HR). 
- On-Premise: Not all AI features are available on-premise due to dependencies on cloud-native infrastructure or third-party integrations. 
5. Integration with External AI
- Cloud: Easier integration with cloud-based AI services (e.g., OpenAI, Microsoft Azure AI). 
- On-Premise: Integrations may require custom configurations and are often limited to on-premise-compatible APIs. 
6. Total Cost of Ownership
- Cloud: Subscription-based pricing with no upfront hardware costs. 
- On-Premise: Higher initial investment in hardware, software licenses, and dedicated AI expertise. 
Recommendation:
For most organizations, the cloud offering is preferable due to its ease of use, automatic updates, and lower operational overhead. However, on-premise is viable only if data must reside locally due to strict compliance needs.
Hope this helps!
Thanks & Regards,
Muhammad Iftikhar
If my response helped, please mark it as the accepted solution so others can benefit as well.
 
					
				
		
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‎09-17-2025 07:29 AM
Hi,
The major differences between on-premise and cloud instances in ServiceNow regarding AI capabilities are:
1. Deployment & Updates
- Cloud: AI features (like Now Assist, Predictive Intelligence, AI Search) are automatically enabled and updated by ServiceNow. You get the latest AI innovations without manual upgrades. 
- On-Premise: You must manually install and update AI plugins. This often involves longer delays for new features and requires internal maintenance. 
2. Infrastructure & Scalability
- Cloud: ServiceNow manages all AI infrastructure, including GPU resources for model training/inference. It scales automatically with usage. 
- On-Premise: Your organization must provision and maintain high-performance hardware (e.g., GPUs) and ensure scalability, which can be complex and costly. 
3. Data Governance & Compliance
- Cloud: Data is processed in ServiceNow’s secure data centers. Some organizations may have compliance requirements that restrict cloud data processing. 
- On-Premise: Full control over data residency and governance, which is crucial for highly regulated industries (e.g., government, defense). 
4. Feature Parity
- Cloud: Access to the full suite of AI services (e.g., Now Assist for ITSM, CSM, HR). 
- On-Premise: Not all AI features are available on-premise due to dependencies on cloud-native infrastructure or third-party integrations. 
5. Integration with External AI
- Cloud: Easier integration with cloud-based AI services (e.g., OpenAI, Microsoft Azure AI). 
- On-Premise: Integrations may require custom configurations and are often limited to on-premise-compatible APIs. 
6. Total Cost of Ownership
- Cloud: Subscription-based pricing with no upfront hardware costs. 
- On-Premise: Higher initial investment in hardware, software licenses, and dedicated AI expertise. 
Recommendation:
For most organizations, the cloud offering is preferable due to its ease of use, automatic updates, and lower operational overhead. However, on-premise is viable only if data must reside locally due to strict compliance needs.
Hope this helps!
Thanks & Regards,
Muhammad Iftikhar
If my response helped, please mark it as the accepted solution so others can benefit as well.
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‎09-18-2025 04:02 AM
Hi and thanks for the rapid respons 🙂
Do you also now status on AI Control Tower, Now Assist and AI Agent Fabric is availible on-premise?
Thanks
Kent
