Case Study: Ruten Neuro achieves scalable GPU-powered research workflows with D3V Technology Solutions

Ruten Neuro scales to 5 parallel sessions with D3V Technology Solutions

Ruten Neuro, a neuroscience research company, faced severe scalability bottlenecks with its local, GPU-based Python data workflows running on individual machines. This setup prevented parallel processing and lacked monitoring, throttling their research velocity. They partnered with D3V Technology Solutions to modernize their infrastructure by migrating to the Google Cloud Platform.

D3V Technology Solutions architected a custom GCP solution using GPU-accelerated Compute Engine VMs for inference and serverless Cloud Workflows for orchestration. The results unlocked massive scalability, allowing Ruten Neuro to process five independent sessions simultaneously and reduce processing time to a predictable 1-3 hours per session while maintaining 100% data integrity and gaining full operational observability.

Ruten Neuro