Akamai and VAST Data partner to tackle edge AI latency and scalability challenges
Akamai and VAST Data have partnered to enhance data-intensive AI inferencing by combining Akamai’s distributed platform with VAST’s AI data platform.
The collaboration addresses challenges such as latency, cost, and scalability for deploying AI-powered applications at scale.
Akamai’s distributed cloud infrastructure is uniquely positioned to deliver AI inference at the edge, improving local response times and localization. The integration with VAST Data provides users with fast, secure access to data across edge and cloud via a single global namespace.
This partnership seeks to democratize edge AI computing by lowering costs and improving customer experiences, supporting Akamai’s vision for a more distributed cloud model and addressing the demands of an edge-centric future.
“With this agreement, Akamai and VAST Data will deliver next-generation AI infrastructure that combines hyperscale performance, security, and efficiency to meet the growing demands of enterprise AI workloads, closer to the digital touchpoint,” says Jeff Denworth, co-founder of VAST Data. “Together, we are providing organizations with an AI-ready data platform that ensures seamless scalability, intelligent automation, and enterprise-grade security for the most demanding AI and inference applications.”
The combined solution offers hyperscale performance, security, and scalability for enterprise AI workloads.
Akamai continues to lead in cybersecurity and cloud computing, providing reliable and scalable solutions for global enterprises.
Article Topics
AI/ML | Akamai | edge AI | edge computing | Edge Inference | VAST Data
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