Configure build machine settings across all projects
Build and deployment settings can now be configured at the team level and applied across all projects instead of individually per project. Build Machines let you choose compute resources to optimize build times, while On-Demand Concurrent Builds control parallel execution and queue behavior.
Build and deployment settings can now be configured at the team level and applied across all projects, compared to the previous project-by-project setup.
let you choose the compute resources for each build to optimize build times:Build Machines
control how many builds can run in parallel and whether builds skip the queue.On-Demand Concurrent Builds
You can now apply configurations to all projects at once, or make targeted changes across multiple projects from a single interface.
with team-level settings.Get started
Standard build machines with 4 vCPUs and 8 GB of memory
Enhanced build machines with 8 vCPUs and 16 GB of memory
Turbo build machines with 30 vCPUs and 60 GB of memory
Source: original entry ↗
More from Vercel
Follow Vercel to get its new changes in your feed and email digest.
OpenAI Decisions API now available on AI Gateway
OpenAI's Decisions API is now accessible through Vercel's AI Gateway with an OpenAI-compatible endpoint, enabling decision models to answer typed questions and return probabilities, choices, and scores for routing, triage, and guardrails use cases. Support is available across the OpenAI SDK, AI SDK, HTTP API, and CLI with the latest versions.
Timestamp attributes now supported in Vercel Flags
Vercel Flags now supports timestamp attributes for entities, allowing you to create time-based targeting rules. Use this feature to run limited-time campaigns, show content between specific dates, or target users based on registration date.
Glyph Cluster now available in stealth on AI Gateway
Glyph Cluster, a reasoning model for coding and long-context analysis, is now available as a stealth model on Vercel's AI Gateway for Pro and Enterprise plan teams with purchased AI Gateway credits at no cost during the stealth period. The model supports function calling, streams responses, and can be accessed via AI SDK, OpenAI-compatible APIs, and coding agents.