Articles tagged "nvidia"
Building a Local LLM Machine in 2026: Complete Hardware Guide
Complete 2026 guide to building a PC for running local LLMs. GPU VRAM requirements, RAM, storage, three full build examples from $800 to $6000, and Ollama/llama.cpp setup.
Best GPU for Hashcat 2026: RTX 5090, 4090, RX 7900 XTX for WPA2 and bcrypt Cracking
Best GPU for Hashcat password cracking in 2026. RTX 5090 ($1599) leads for WPA2 and bcrypt. Full speed table: MD5, NTLM, WPA2-PMKID, bcrypt. Value picks under $500. Buy or build guide.
How to Blacklist Nouveau NVIDIA Driver in 2026 (Ubuntu, Arch, Fedora, Rocky Linux)
Updated 2026: Blacklist the Nouveau NVIDIA driver on Ubuntu, Arch, Fedora, Rocky Linux, and openSUSE. Includes distro-specific initramfs commands, GRUB fallback method, Secure Boot warning, and steps to verify with lsmod and install NVIDIA drivers.
RTX 2080 Ti TensorFlow GPU benchmarks: The best GPU of 2018
In this short blog post we are going to show benchmarking results of the latest RTX 2080ti. We also will try to answer the question if the 2080ti is the best GPU for deep learning in 2018? We found that the 2080ti is 27% faster then the 1080ti on FP32 benchmarks. For FP16 the 2080ti is 38% better. The 2080ti is 25% more expensive than than the 1080ti.
How to Blacklist Nouveau Driver in Linux [Ubuntu/Debian/Fedora]
Learn how to blacklist the Nouveau driver in Linux for Nvidia installation. Step-by-step guide for Ubuntu, Debian, Fedora, and Arch Linux systems.
Hashcat GPU Benchmark Table 2026: RTX 5090, 4090, RX 7900 XTX — WPA2, bcrypt, MD5 H/s
Hashcat GPU benchmark table 2026. RTX 5090 vs RTX 4090 vs RX 7900 XTX — WPA2 (mode 22000), bcrypt (mode 3200, 180 kH/s), MD5, NTLM hash speeds. Best GPU for WPA cracking ranked by cost-per-GH/s.
How to adjust NVIDIA GPU power usage on linux
If you are using a headless server with NVIDIA GPUs for scientific computing or crypto mining it's probably that you will notice high temperature close to about 80+ C. Also you will notice that fan speed is not at 100% when temperature is high. In this tutorial we explain how to manage to lower the temperature using nvidia commands.