#Compute

SpaceX's IPO filing reveals that orbital AI data centers hinge on acquiring vastly more chips than currently exist, with Terafab as an uncertain fix. The company admits its plans could fall short amid supplier limits and unstable partnerships.…

Anthropic is paying SpaceX $1.25 billion per month through May 2029 as part of the massive compute deal the companies signed earlier this month.…

Explore how Azure IaaS delivers system-level performance by aligning compute, storage, and networking for AI, cloud-native, and enterprise workloads.

Elon Musk built Colossus to power xAI but quickly leased its full 300MW capacity to Anthropic for $1.25 billion monthly. Now he calls it a short-term 180-day deal with easy cancellation, signaling preparations to reclaim the GPUs if needs tighten.…

There’s a quiet assumption in almost every AI discussion right now: “If we scale compute and...

As AI agents move from experiments to production, AWS, Cloudflare, and others are redesigning cloud infrastructure for a future dominated by machine-generated internet traffic instead of human users.

From early-stage startups to growing enterprises, Vercel has you covered. Find a plan to power your projects.

Vercel's Frontend Cloud is designed with high availability at its core, to maintain uptime for dynamic applications.

Learn about how Vercel Functions help you run secure, highly available, and fast compute.

Building a compute layer that is highly-optimized for interactive workloads, server-rendering, and APIs

Vercel’s low-level untrusted and ephemeral compute platform is designed to give us the control needed to securely and efficiently manage and run builds.

We built Hive, our general compute platform, after outgrowing off-the-shelf solutions. See how it's now powering secure connections to private networks, cutting initialization from 90s to 5s and improving build speeds by 30%.

Python functions can now leverage In-function concurrency, which optimizes function to handle multiple invocations simultaneously and improves resource efficiency.

Vercel Functions can now run on Fluid compute, a next-generation execution model that improves efficiency and reduces costs. It brings scalable, cost-effective compute without infrastructure complexity.

Fluid compute on Vercel combines serverless efficiency with server-like flexibility, reducing cold starts and cutting compute costs by up to 85%. Scale intelligently, minimize latency, and optimize performance with zero config.

Project and deployment pages in the Vercel dashboard now show the deployment's Fluid Compute, Function CPU, Deployment Protection, Skew Protection, and Secure Compute settings.

You can now select multiple regions for your Vercel Functions directly from the dashboard. This makes configuration easier by removing the need to define regions in vercel.json.

Observability's Vercel Functions dashboard now shows quick-view tiles for advanced metrics, highlighting Fluid Compute and key insights to optimize projects on all plans.

See how Fluid combines server efficiency and serverless flexibility by reusing compute before creating new resources, reducing cold starts, and running in unconstrained environments while staying secure and fast. Cut compute costs by up to 85%.