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Artem

kabachuha
victor's profile picture jblast94's profile picture Alissonerdx's profile picture
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AI & ML interests

deep learning, natural language processing, text2image, text2video, computer vision, fusion power

Recent Activity

new activity 1 day ago
jukofyork/creative-writing-control-vectors-v3.0:“The doom lies in yourself, not in your name.”
new activity 2 days ago
moonshotai/Kimi-K2.5:Can someone abliterate this model please
reacted to kostakoff's post with 🚀 2 days ago
My home lab for AI models - llmlaba v1 After I began learning MLOps I realized that I needed some kind of home lab, there are a lot of GPUs that I need to learn how to set up and test. So I spent some time to do a researching which platform I could buy or build. My requirements ware: - Limited budget - Power supply 1 kW or higher - Few PCIe slots to be able to install more than one gpu - Zero maintenance cost, I don't want spend a lot of time or money to maintain lab hardware, except for the GPUs I chose the Intel Mac Pro 7.1: - Prices on eBay acceptable - Excelent cooling - 1.4 kW power supply - 7 PCIe slots - Zero maintenance: I don't need to do anything with the Mac Pro hardware; it just works - Classic UEFI boot loader It requires a bit of OS preparation: 1. Install Ubuntu 24.04 (it works with the general PC ISO image) 2. Set up T2 drivers ```bash sudo apt install -y dkms linux-headers-$(uname -r) applesmc-t2 apple-bce lm-sensors ``` 3. Install t2fanrd to manually manage fans (/etc/t2fand.conf) https://wiki.t2linux.org/guides/fan/ 4. Fix PCIe BAR: add pci=realloc to GRUB_CMDLINE_LINUX_DEFAULT so the Linux kernel will properly initializes server GPUs without Graphics Output Protocol 5. Install NVIDIA GPU driver: ```bash sudo apt install nvidia-driver-570 ``` And it works! I was able to run server-grade Nvidia Tesla P100 (required DIY air duct), and consumer Nvidia Titan X, Titan V, GTX 1080 cards on the old Mac Pro 7.1 - even three in parallel. https://huggingface.co/llmlaba
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