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Case Study

Visionular Optimized AI Video Workloads with Akamai Cloud

Visionular Optimized AI Video Workloads with Akamai Cloud

Visionular Optimized AI Video Workloads with Akamai Cloud

Akamai
Pages 3 Pages

Visionular, an AI-powered video compression and streaming technology company, partnered with Akamai to overcome rising cloud costs, reduce latency, and scale global video delivery. As AI-driven video workloads increased compute, storage, and bandwidth demands, the company required infrastructure that could support intensive processing while maintaining predictable costs. By adopting Akamai Cloud, including LKE Managed Kubernetes Engine, Block Storage, and Object Storage, Visionular reduced compute and storage expenses by up to 40%, lowered streaming latency, and improved scalability for unpredictable traffic peaks. Akamai's edge-native architecture also enhanced content delivery performance while enabling flexible multicloud workflows and efficient AI processing. The partnership has helped

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