Cloud, On-premises or Hybrid Deployment
Flexible Deployment Options for Your AI Needs
Every organization has distinct AI needs, whether in the cloud, on-premises, or a combination of both. Robovision offers the flexibility to adapt to your specific requirements. By blending the power of cloud and edge computing, a hybrid approach optimizes performance, enhances security, and scales effortlessly. This ensures a tailored AI solution that aligns perfectly with your production demands—be it real-time processing at the edge or leveraging the vast computational resources of the cloud.
Cloud Deployment
Cloud deployment is hyper-flexible; ideal for organizations seeking agility, scalability, and cost-effectiveness:
✓ Quick and easy set up
✓ Pay-per-use pricing models
✓ Always on and globally accessible
✓ Perfect for scenarios where reliable bandwidth connectivity is available and latency is less critical
✓ Well-suited for training purposes
✓ Ability to scale resources according to demand
On-Premise Deployment
On-premise deployment may involve higher initial acquisition costs and limited scalability compared to cloud solutions. Selected for:
✓ Data privacy
✓ Security
✓ Control over infrastructure
✓ Compliant with stringent regulations and policies
✓ Unmatched control over resources and data
✓ Scenarios where connectivity to the cloud is insufficient
Hybrid Deployment
Hybrid deployment combines cloud and on-premise solutions
✓ Provides a balanced approach that optimizes performance, security, and scalability
✓ Perfect for organizations that need real-time processing capabilities at the edge
✓ Leverages the expansive computational power of the cloud for large-scale data analysis and storage.
With Robovision, everything is possible—we provide the flexibility and options to tailor solutions to your unique requirements and deploy AI initiatives, whether in the cloud, on-premise, or through a hybrid combination of both.