The solution significantly improved the efficiency and reliability of the Data Science workflows.
Meet our client
Client:
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Client’s Challenge
A leading battery manufacturer needed a scalable, high-performance AI infrastructure to support 10-15 data scientists working on LLMs and material simulations, ensuring efficient deep learning and resource orchestration.
Our Solution
We designed, deployed, integrated, and tested a robust cluster architecture on cloud infrastructure. The solution included MLOps tooling and a resource orchestration system, ensuring smooth and efficient operations for the client’s Data Science team.
Client’s Benefits
The new scalable AI infrastructure improved resource efficiency, reduced latency, and enabled smoother collaboration. Optimized orchestration maximized GPU utilization, helping the company complete a 12-month research project with optimal performance, accelerating battery technology innovation.
