Security and control: Businesses have complete control over their data and applications when they are deployed on-premise. This can be important for businesses that handle sensitive data or have strict compliance requirements.

Customization: Businesses can customize their on-premise deployments to meet their specific needs. This can include things like tailoring the software to their workflow or integrating it with other systems.

Performance: On-premise deployments can offer better performance than cloud-based deployments, especially for applications that require a lot of processing power or bandwidth.

Reduced latency: By processing data locally, edge computing eliminates the need for data to travel long distances to a central server, resulting in significantly faster response times.

Improved bandwidth efficiency: Edge computing reduces this burden by pre-processing and filtering data at the source, only sending the most critical information to the cloud.

Greater autonomy and resilience: Edge devices can operate independently, even in case of connectivity disruptions with the central server. This ensures continuous operation and faster decision-making in mission-critical situations.

Leverage specialized strengths: Each cloud provider excels in specific areas. Multi-cloud allows you to tap into these strengths, like AWS for storage, Google Cloud for AI/ML, and Microsoft Azure for analytics.

Build hybrid landscapes: Integrate public cloud services with your own private cloud or on-premises infrastructure for greater control and customization.

Escape vendor lock-in: By diversifying your cloud portfolio, you gain negotiating leverage and avoid being beholden to a single vendor's roadmap or pricing whims.