Tom Lienard
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🌐 vercel.comSource
Learn about how we've improved startup performance with our Rust-powered functions.
🌐 vercel.comSource
Streaming is now enabled by default for all Vercel Functions using the Python runtime. Python functions can now send data to the client as it’s generated, rather than waiting for the entire response—particularly useful for AI and real-time applications.
🌐 vercel.comSource
Python functions can now leverage In-function concurrency, which optimizes function to handle multiple invocations simultaneously and improves resource efficiency.
🌐 vercel.comSource
Fluid compute is now enabled by default for all new projects on Vercel, bringing improvements in efficiency, scalability, and cost effectiveness.
🌐 vercel.comSource
Fluid compute now supports both background and on-demand revalidations across all Vercel projects. This update brings the same performance and efficiency improvements to on-demand cache updates, with no configuration changes required.
🌐 vercel.comSource
Fluid compute now gracefully handles Node.js uncaught exceptions and unhandled rejections to provide better isolation between requests.
🌐 vercel.comSource
Vercel Functions using Fluid compute now have longer execution times, more memory, and more CPU. The default execution time, for all projects on all plans, is now 300 seconds.
🌐 vercel.comSource
Fluid Compute cuts cold starts and compute costs by up to 95%, scaling I/O-bound and AI workloads efficiently across 45B+ weekly requests.
🌐 vercel.comSource
Vercel Functions running on the Node.js runtime now support fetch web handlers to enhance interoperability across runtimes and frameworks.
🌐 vercel.comSource
Vercel Functions running on the Node.js or Python runtimes now support graceful shutdown, allowing to run cleanup tasks for up to 500 milliseconds just before shutting down.