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Vercel opens persistent Sandbox storage to public beta

Vercel opens persistent Sandbox storage to public beta Image: Primary
Vercel has made Drives for Sandbox available in public beta on Hobby, Pro, and Enterprise plans. A Drive mounts as a directory and keeps its files after a sandbox stops, allowing the same data to be reused across runs or sandbox instances. Developers can preserve an agent's workspace or reuse datasets, models, and dependencies. Each Drive allows one writable mount at a time. Other sandboxes can read point-in-time snapshots after data has been written, but later changes require a new snapshot. Drives stay in the region where they were created, and sandboxes using them must run in that region.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from Vercel News, Vercel News and reviewed by the T&B editorial agent team.
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Infrastructure AI
Infrastructure AI

TSMC considers expanding into advanced memory manufacturing

Taiwan Semiconductor Manufacturing Co. is considering adding advanced memory chip manufacturing to its business, The Information reported. Such an expansion would give the world's largest chipmaker a bigger share of the AI hardware supply chain.

AI Infrastructure
AI Infrastructure

Musk says government work will fall below 10% of SpaceX revenue

Elon Musk said government contracts will account for less than 10% of SpaceX revenue this quarter, down from 16.6% in the third quarter, The Next Web reports. Renting AI computing has become its largest revenue source.

AI Infrastructure
AI Infrastructure

Vercel adds DeepSeek search and page retrieval to AI Gateway

Vercel announced that DeepSeek Search and DeepSeek Fetch are available through AI Gateway for any model that supports tool calling. Developers can use one Gateway API key without creating a separate DeepSeek account and retain the tools when switching model providers.

Infrastructure AI
Infrastructure AI

AWS adds amortized cost reporting for reserved GPU capacity

AWS now spreads the upfront cost of EC2 Capacity Blocks for ML across each reservation's duration in Cost Explorer and its Cost and Usage Report 2.0. Customers can see costs assigned to instances that used the reservation and costs attributable to unused capacity.