@CaptainInsightX: OpenAI spent billions on training infrastructure. Two Aussie brothers made AI training 30x faster ~ with $500K total. M…

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Summary

Brothers Daniel and Michael Han built Unsloth, an open-source tool that makes LLM fine-tuning 2-30x faster with 70-90% less memory, raising only $500K while competing with billion-dollar infrastructure.

OpenAI spent billions on training infrastructure. Two Aussie brothers made AI training 30x faster ~ with $500K total. Meet Daniel & Michael Han > Brothers from Sydney, Australia > Daniel was an engineer at NVIDIA > Sped up the t-SNE algorithm 2000x. Cut SVD memory in half. > Found and fixed 20+ bugs in Meta’s Llama, Google’s Gemma, Mistral, and Phi > Big AI labs missed bugs in their own models. He caught them. > Started Unsloth in December 2023 with his brother Michael > Built tools that make LLM fine-tuning 2-30x faster, with 70-90% less memory Released it 100% open source. Free for everyone. > 64,000+ GitHub stars > 10 million model downloads every month > NASA and Canva use their code > Raised only $500K total in seed funding > Got into Y Combinator S24 > Led by two brothers with a small team of 8 shipping code While big labs burn billions, they made AI accessible to everyone. Absolute Legends
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OpenAI spent billions on training infrastructure. Two Aussie brothers made AI training 30x faster ~ with $500K total.

Meet Daniel & Michael Han

Brothers from Sydney, Australia Daniel was an engineer at NVIDIA Sped up the t-SNE algorithm 2000x. Cut SVD memory in half. Found and fixed 20+ bugs in Meta’s Llama, Google’s Gemma, Mistral, and Phi Big AI labs missed bugs in their own models. He caught them. Started Unsloth in December 2023 with his brother Michael Built tools that make LLM fine-tuning 2-30x faster, with 70-90% less memory Released it 100% open source. Free for everyone.
64,000+ GitHub stars 10 million model downloads every month NASA and Canva use their code Raised only $500K total in seed funding Got into Y Combinator S24 Led by two brothers with a small team of 8 shipping code

While big labs burn billions, they made AI accessible to everyone.

Absolute Legends

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@AI_jacksaku: This week’s GitHub dark horse—Unsloth speeds up AI model training 2-5× while cutting VRAM use by 80%. What does that mean? Fine-tuning a large model used to require an A100 cluster and tens of thousands of dollars. Now one RTX 4090 can finish the job in a few hours. How? By optimizing attention compute, eliminating redundant memory copies, and adding QLoRA & Flash Attention support.

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Unsloth open-source tool boosts large-model fine-tuning speed 2-5× and slashes VRAM by 80%, letting a single RTX 4090 finish in hours what once needed an A100 cluster.

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