Designing for sovereign AI: A shared foundation from edge to cloud

By Dustin Ward

As organizations apply AI to more business-critical and data-intensive workloads, AI processing is moving closer to where data is created, decisions are made, and operations take place. Manufacturers can analyze confidential production data next to the systems that generate it. Pharmaceutical companies can apply AI to clinical trials within controlled environments. Government agencies can run…

Managing open-weight model risk in enterprise deployments

By Dustin Ward

The growing AI landscape is giving enterprises more choice in how they build, customize, and deploy increasingly capable models. Open-weight models are an important part of that landscape. They give enterprises access to model weights and greater flexibility to inspect, evaluate, modify, and run models within their own environments. While that flexibility can be valuable,…

Evolving the cloud-native foundation for the next generation of AI

By Dustin Ward

Building a cloud-native foundation for AI The relationship between model innovation and AI infrastructure has never been more clear; as AI becomes more capable, the platform underneath it matters even more. Agents are fundamentally changing how applications work, and with that, what organizations need from the cloud. Learn how to build a cloud-native AI foundation…

Amazon S3 is now available on the Vercel Marketplace and v0 by Vercel

By Dustin Ward

Developers building web and AI applications on Vercel can now add Amazon S3 storage resources directly from the Vercel Marketplace and v0, combining the durability, scalability, and performance of S3 with the convenience of Vercel’s provisioning workflow. Starting today, Amazon Simple Storage Service (Amazon S3), including Amazon S3 Tables and Amazon S3 Vectors, is natively…