Case Study: Equos achieves real-time AI streaming optimization with Scaleway

Equos reduces AI error rate to less than 1% with Scaleway

Equos, a company focused on revolutionizing audio and video streaming with AI, faced the challenge of transitioning from asynchronous to real-time processing solutions. This evolution required immense computing power and minimal latency to support customer growth, which was hampered by restrictive GPU quotas and limited support from previous providers. To overcome this, they partnered with vendor Scaleway and its GPU Instances and Kubernetes services.

Scaleway provided the infrastructure and flexibility needed to scale, deploying L4, L40s, and H100 GPU instances for AI computation. This solution reduced Equos's error rate to less than 1%, increased concurrent AI tasks without performance loss, and strengthened resilience. The measurable impact included meeting stringent European compliance requirements to secure customers in strategic sectors and achieving performance well beyond expectations, enabling Equos to focus on innovating and transforming streaming experiences.

Equos