Real ball knowers know how hard it is to squeeze every last drop of performance out of a modern CPU.
Taking a heavily optimized CPU workload and porting it to the GPU is a whole different game.
Today's post by Alex breaks down how we did this for Vortex file decoding.
We built
The team cooked with this one.
Spiral now has first-class support for geospatial data types, with optimized query operators for things like spatial joins.
If you work with satellite images, vector data, or anything multidimensional, you're gonna wanna check this out.
Your data shouldn’t have to fit your file format.
We built Vortex so one columnar format can fit any shape of data and still be fast and small.
Check out the post by Connor Tsui:
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem
