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0 – Introduction Do you wish you could make your online activity more secure? Two factor authentication is a second check besides email and password that you need to fullfill in order to log into your account, some apps and websites support SMS 2FA, but that is also very insecure, some researchers even argue that […]
Ubuntu Tutorial: 2FAuth Read More »
0 – Introduction If you have a lot of services in your homelab, and would like a way to know when they get offline, setup Uptime Kuma. With it’s pretty interface a great ammount of features, you can have both a pretty status page for your services, and notifications and emails for when one of
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0 – Introduction Can adding more GPUs to your system supercharge AI model performance? That’s the question we set out to answer in this DeepSeek-R1 benchmark test using AMD GPUs. With a variety of models and tasks, we push the limits of VRAM, processing power, and efficiency to see if doubling the hardware makes a
DeepSeek-R1: Testing with multiple AMD GPUs Read More »
0 – Introduction In this article, I tested distilled DeepSeek reasoning models ranging from 1.5B to 32B parameters. I evaluate tasks like math and logic challenges to explore how model size influences performance. While smaller models show promise when fine-tuned with chain-of-thought techniques demonstrating how distillation can make high-quality reasoning models both accessible and efficient.
DeepSeek R1: Testing multiple sizes Read More »
0 – Introduction Ollama is a powerful tool for running and managing AI models locally, but setting it up to leverage an AMD GPU on Ubuntu requires a few extra steps. Unlike NVIDIA GPUs, which have well-established CUDA support, AMD relies on ROCm (Radeon Open Compute) to enable GPU acceleration. In this guide, we’ll walk
Ubuntu Tutorial: Ollama With AMD GPUs Read More »