Together AI's ThunderKittens Hits 22.4 PFLOPS on NVIDIA's Rubin

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

Together AI ported its ThunderKittens kernel framework to NVIDIA's Vera Rubin NVL72, hitting 22.4 PFLOPS on NVFP4 GEMMs and rivaling cuBLAS.

Read the full story at AlphaSignal ↗

Timeline · 1 report

2026-09-10 18:00 · AlphaSignal
Together AI's ThunderKittens Hits 22.4 PFLOPS on NVIDIA's Rubin

More stories

Amid growing AI fears, King Charles meets with industry leaders in Scotland — NPR Technology
King Charles to press Nvidia, OpenAI, Anthropic leaders on AI safety at summit — CNBC Technology
Huawei details AI accelerator roadmap, pulls in next-generation Ascend NPUs by several quarters — FP4 performance of the Ascend 960PR doubles expectations — Tom's Hardware
Flyweight: open-source C++/CUDA engine for running MoE models bigger than your VRAM on one GPU + system RAM. First PyPI release, looking for contributors. — r/LocalLLaMA
Deployed Qwen 3.6 35B A3B on a single DGX Spark supporting 12 concurrent users at 262K context. Are there better ways to optimize this? — r/LocalLLM
Beginner confused about Ollama vs LM Studio vs llama.cpp vs vLLM vs Unsloth — can someone explain? — r/LocalLLM
what's the state of the art recipe for running Qwen3.8-Flash-Next with a pair of 3090s and a ton of system RAM rn? — r/LocalLLaMA
Dario Says AI Should Slow Down. Jensen Wants to Go Full Steam Ahead. — Wall Street Journal Technology

Get the daily brief of stories like this at 6:30 every morning →