Case Study: Sightwise achieves scalable GPU-powered AI performance with Zazmic on Google Cloud GKE

Sightwise scales GPU-intensive AI workloads on Google Cloud GKE with Zazmic

Sightwise, a European AI company developing manufacturing applications, faced challenges scaling their GPU-intensive AI workloads on an on-premise Kubernetes cluster. The operational overhead of maintaining their own infrastructure and the high demand for GPU resources for synthetic data generation and model training limited their ability to grow. Zazmic was engaged to migrate their platform to the cloud.

Zazmic implemented a scalable AI infrastructure on Google Cloud using GPU-optimized GKE clusters with NVIDIA GPUs. The solution included a lift-and-shift migration, the adoption of managed data services, and automated GitOps CI/CD pipelines with ArgoCD. For Sightwise, Zazmic delivered a resilient platform that significantly reduced operational overhead, optimized GPU performance, and provided a scalable, production-ready foundation for their AI development.

Sightwise