Cursor Open-Sources Mixture-of-Kittens (MoK): A Deterministic MoE Training Megakernel for GB300 NVL72 Racks
MarkTechPosten

Cursor Research has open-sourced Mixture-of-Kittens (MoK), the MoE training megakernel behind its Composer models. MoK fuses all mixture-of-experts communication and computation into a single deterministic kernel, and runs up to 2.37x faster than the strongest public baseline on GB300 NVL72 racks. It requires Blackwell SM100 or SM103 GPUs, which puts it out of reach for anyone without NVL72 capacity. The post Cursor Open-Sources Mixture-of-Kittens (MoK): A Deterministic MoE Training Megakernel for GB300 NVL72 Racks appeared first on MarkTechPost .
This is a short summary published by AI Global Wire. The full article is owned and hosted by MarkTechPost — open it there to read it in full.
Read the full story at MarkTechPost- Verktyg
- Forskning
Related AI news
- Black Forest Labs makes FLUX 3 Video generally available and claims it beats Seedance 2.0The Decoder · August 5, 2026
- Anthropic confirms it is building an in-house silicon team to design custom chips for Claude, co-designing hardware and models and using a "multi-chip approach" (Tom Carter/Business Insider)Techmeme · August 5, 2026
- Cloudflare launches Identity-Aware AI Gateway to track who is using AISiliconANGLE · August 5, 2026
- I've dictated over 120,000 words with my voice - these are my 3 favorite tools (and one is free)ZDNET AI · August 5, 2026
- Vectra AI launches Vectra AI Pro to feed AI agents better attack signalsSiliconANGLE · August 5, 2026
- MacPaw taps Liquid AI to offer on-device inference to devs building for its app storeTechCrunch AI · August 5, 2026