December 6, 2025
Batch me outside
Wolfram Compute Services
Send big math to the cloud — fans cheer while skeptics roast the slow launch vibes
TLDR: Wolfram now lets you send huge math jobs to cloud machines and get results by email, no heavy setup needed. The crowd is split: fans praise the clean rollout and power, skeptics roast slow startup and “late to cloud” vibes — but everyone agrees scaling big computations just got easier.
Wolfram just rolled out Compute Services, a slick “press send and walk away” upgrade for heavy math. Wrap your mega-calculation in RemoteBatchSubmit, ship it to cloud machines (from 1 core up to 192 and memory topping 1.5 TB), and get an email when it’s done. Easy, no fiddly setup, and results drop right back into your notebook. That’s the pitch — but the comments are the main event. The snark brigade arrived first: one user joked a supercomputer might finally make Mathematica open faster than 30 seconds, turning the launch into a startup-time meme. Another quipped Stephen Wolfram “finally discovered cloud computing,” linking to old experiments with remote kernels here. Fans fired back with glowing praise for the straightforward rollout, calling the demo “exactly how you announce a feature.” And the love letters flowed for Wolfram Language itself: once your brain “twists” into its style, it becomes an exploration superpower, especially for research and prototyping. Meanwhile, a visionary thread mused that this kind of high-level computing — maybe with AI agents generating code — is the future, though it might shrink team sizes. So yes, the cloud is here, the scale is big, and the vibe is pure tech soap opera: speed jokes vs. genuine excitement, with a side of “about time” energy.
Key Points
- •Wolfram released Wolfram Compute Services to scale Wolfram Language computations via RemoteBatchSubmit.
- •The system automatically manages dependencies from notebook contexts and returns results ready for immediate use.
- •Compute options range from a 1-core/8 GB machine to high-memory (~1500 GB) and up to 192-core instances.
- •RemoteBatchMapSubmit enables distributed parallel execution across multiple machines and cores.
- •Users receive email notifications and can monitor jobs via a dashboard; an example demonstrates a geometry task scaled to 500 pentagons.