KorrAI Cuts Cloud Costs by 60% and Scales Computing Power with OrdinaryTech
Challenge
KorrAI, a leader in AI-driven ground monitoring solutions, was grappling with soaring cloud expenses as their compute-intensive operations grew. Relying entirely on cloud-based infrastructure led to escalating costs. With demand for faster processing and higher operational efficiency, KorrAI needed a hybrid solution that combined the scalability of the cloud with the cost-efficiency of in-house computing.
Solution
OrdinaryTech collaborated closely with KorrAI to develop a hybrid computing architecture tailored to their needs. We began by implementing a single in-house server to handle a portion of their compute load. Recognizing the significant cost savings and performance gains, KorrAI rapidly expanded their infrastructure. Over the course of a year, we scaled this to a network of six high-performance servers, shifting 60-70% of their computing power in-house while maintaining seamless integration with the cloud for peak-demand flexibility.
This hybrid approach allowed KorrAI to retain the scalability of the cloud for non-critical workloads while optimizing critical operations in-house. The infrastructure was designed to support their AI workflows with enhanced reliability, speed, and control.
Outcome
By adopting OrdinaryTech’s hybrid solution, KorrAI achieved the following transformative results:
- 60% reduction in cloud computing costs, saving hundreds of thousands of dollars annually.
- 3x improvement in processing speed for their AI models, enabling faster insights and decision-making.
- Greater operational resilience and flexibility by balancing in-house and cloud computing.
- Infrastructure scalability to support future growth and demand.
"Working with OrdinaryTech has completely transformed how we handle our computing needs. By bringing 60-70% of our computing power in-house, we’ve cut cloud costs by 60% and significantly increased our processing speed. This has not only saved us money but also helped us operate more efficiently and scale faster."