Case Study: Lipitt achieves sub-1% processing error rates with Scaleway GPU Instances

A Scaleway Case Study

Preview of the Lipitt Case Study

Lipitt - Customer Case Study

Lipitt, a company specializing in AI for speech translation and video dubbing, faced the challenge of scaling its operations from deferred to real-time processing. They needed powerful, low-latency infrastructure to handle this demanding transition and encountered obstacles with slow GPU provisioning and limited support. This led them to partner with infrastructure vendor Scaleway.

Scaleway provided Lipitt with its Kubernetes clusters and L4 GPU instances, which delivered the necessary compute power and scalability. This solution reduced Lipitt's processing error rate to less than 1% and enabled them to handle more concurrent AI tasks. Furthermore, Scaleway's European data security compliance was instrumental in helping Lipitt secure five major French clients, providing a significant competitive advantage.


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