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A new way of TRAINING LLMs with 3x less memory...!?

bycloud18 August 2026Watch on YouTube

What you'll learn

  • DiffusionBlocks enables training LLMs with 2-3x less memory, with potential reductions up to 4-6x
  • The method maintains minimal performance loss, making large model training feasible on limited hardware
  • The technique applies optimization methods to drastically reduce memory consumption during LLM training

Frequently asked questions

What is DiffusionBlocks and how does it help with LLM training?
DiffusionBlocks is a research method that enables training Large Language Models with 2-3x less memory while maintaining minimal performance loss. This makes it possible to train larger models on hardware with limited resources.
How much memory can you save with DiffusionBlocks?
With DiffusionBlocks you can typically use 2-3x less memory. In extreme cases, savings up to 4-6x are possible, depending on how aggressively you apply the optimization.
Does model quality suffer when using DiffusionBlocks?
No, DiffusionBlocks achieves minimal performance loss despite the significant memory reduction, making it a practical solution for training with limited resources.

Topics

llm trainingmemory optimizationdiffusionblocksai researchmodel efficiency

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Description from the channel

Need high quality cloud GPUs? Check out Verda now, and use the code BYCLOUD-50 to get $50 of compute credits for just $5! https://verda.com/?utm_source=bycloud&utm_medium=referral&utm_campaign=sponsorship&utm_content=diffusion_blocks A great news for us gpu poors? This research DiffusionBlocks shows that you can train LLMs with 2-3x less memory with minimal performance loss. If crazier, you could even go up to 4x or 6x! my latest project: Intuitive AI Academy We just wrote a new piece on Optimization!! https://intuitiveai.academy/ limited time code "LOCKIN" for 35% off yearly plan My Newsletter (weekly top research papers) https://mail.bycloud.ai/ My Patreon https://www.patreon.com/c/bycloud DiffusionBlocks [Paper] https://arxiv.org/abs/2506.14202 [Project Page] https://pub.sakana.ai/diffusionblocks/ [Code] https://github.com/SakanaAI/DiffusionBlocks Try out my new fav place to learn how to code https://scrimba.com/?via=bycloudAI This video is supported by the kind Patrons & YouTube Members: 🙏Spam Maj, Alex, Chris LeDoux, DX Research Group, Poof N' Inu, Deagan, Robert Zawiasa, Ryszard Warzocha, Tobe2d, Louis Muk, Akkusativ, Kevin Tai, Mark Buckler, NO U, Tony Jimenez, Ângelo Fonseca, jiye, Anushka, Asad Dhamani, Binnie Yiu, Calvin Yan, Clayton Ford, Diego Silva, Etrotta, Gonzalo Fidalgo, Handenon, Hector, Jake Disco very, Michael Brenner, Nilly K, OlegWock, Daddy Wen, Shuhong Chen, Sid_Cipher, Stefan Lorenz, Sup, tantan assawade, Thipok Tham, Thomas Di Martino, Thomas Lin, Richárd Nagyfi, Paperboy, mika, Leo, Berhane-Meskel, Kadhai Pesalam, mayssam, Bill Mangrum, nyaa, Toru Mon, Lame Plane, Matej Macak, Len Mo, saylikhapekar, ZyanSheep, THEVIERAOS, Ricardo Raphael Corona-Moreno, superchordate [Discord] https://discord.gg/NhJZGtH [Twitter] https://twitter.com/bycloudai [Patreon] https://www.patreon.com/bycloud [Business Inquiries] bycloud@smoothmedia.co [Other Inquiries] bycloudai@gmail.com [Profile & Banner Art] https://twitter.com/pygm7 [Video Editor] @aduckchicken2 Manim Animations created with Manimate https://www.manimate.ai/ [Ko-fi] https://ko-fi.com/bycloudai