emi

we built herdora because writing cuda sucks and hiring gpu engineers is impossible. we turn slow pytorch into fast gpu code. automatically. please reach out emilio [at] herdora [dot] com if you want faster/cheaper inference .

Someone’s gonna release an actual “RL for kernel development” paper without measurement errors at some point and no one will believe it

so mi300x MOGS h100 with llama 4 scout in high concurrency 😮

🚀 @herdora_ai launched! Cursor for CUDA "Herdora turns your slow PyTorch into fast GPU code, automatically." 🌐 fondo.ai/3GVvhCJ Congrats @technoabsurdist @gpusteve!!

sometimes I accidentally run chat without agent mode and get scared by the horrible results. how do people live like that

📜 ai doesn't run on just NVIDIA anymore - it’s running on many different chips, each with different quirks, tradeoffs, and scaling behavior. today we’re launching chipbenchmark.com - a new open-source platform to monitor the ai hardware situation.

Herdora (@herdora_ai) is the Cursor for CUDA. It automatically turns your PyTorch code into optimized GPU kernels so you don't have to write CUDA. Congrats on the launch, @technoabsurdist & @gpusteve! ycombinator.com/launches/NzG-h…

looking forward to exciting times

if your company doesn't buy creatine for you, you're ngmi

Reminds me a lot of the recent wave of (very successful) systems companies that rewrote popular frameworks like Kafka to take advantage of modern storage devices. Emi is a super talented engineer + excited to see what he builds. Still so much software to write to close the gap…

“let’s see what happens if I bump the project to the next major CUDA release”