Akamai and VAST Data Collaborate on Edge AI Inference

Mar 18, 2025
Akamai Technologies has announced a partnership with VAST Data to enhance edge AI inference capabilities, aiming to improve data-intensive AI processing with lower latency and cost.

Akamai Technologies has announced a partnership with VAST Data to enhance edge AI inference capabilities, announced in a press release. This collaboration aims to integrate Akamai's distributed platform with VAST Data's innovative approach to data-intensive computing, addressing the challenges of latency, cost, and scalability in deploying AI-powered applications.

The partnership will enable Akamai to leverage VAST Data's platform to provide faster and more efficient AI inferencing for large, distributed customers. This integration is designed to meet the demands of enterprises requiring better local response times and localization for distributed inference.

By combining their technologies, Akamai and VAST Data aim to deliver a next-generation AI infrastructure that offers hyperscale performance, security, and efficiency. This initiative is part of Akamai's vision to advance a more distributed cloud model, catering to the growing needs of enterprise AI workloads closer to digital touchpoints.

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Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

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