GPUs & Graphics Cards

GPUs & Graphics Cards

Why Oculink GPU Fails in Ollama: Dual Setup & Scheduling

Fix RTX 5060 Ti recognition in Ollama via Oculink. Step-by-step guide using CUDA_VISIBLE_DEVICES and OLLAMA_SCHED_SPREAD for RTX 5080 + RTX 5060 Ti dual-GPU setups.
GPUs & Graphics Cards

RTX 4070 Super vs RTX 5060 Ti: VRAM Showdown for LLMs

Upgrading from RTX 4070 Super to RTX 5060 Ti boosts 14B model speed. See how the 4GB VRAM difference impacts performance across 15 models in our real-world test.
ComfyUI

ComfyUI Multi-GPU Guide: RTX 5080 + 4070 Super Real-World Tests

Real-world ComfyUI dual-GPU guide (RTX 5080 + 4070 Super): port separation for parallel jobs, why VRAM can't be pooled, and where Ollama is the exception.
GPUs & Graphics Cards

RTX 5080 MoE Models: Power Drops to One-Quarter in Real-World Tests

RTX 5080 across 14 LLMs: dense models draw 200–300W, but MoE (gemma4:26b, qwen3.5:35b-a3b) drop to 47–73W at 14.8GB VRAM. With tokens/W and power-cost analysis.
GPUs & Graphics Cards

Anima TrainFlow: Train LoRA on 6GB VRAM

Anima TrainFlow is a Web trainer for Anima 2B LoRA on 6GB+ VRAM GPUs. Features sd-scripts + Gradio + Prodigy, live preview, portable distribution, and VRAM guidelines.
GPUs & Graphics Cards

Intel Nova Lake Xe3 GPU: Can It Handle Local AI?

Can Intel Nova Lake's Xe3 GPU run local AI? We analyze Lunar Lake benchmarks to compare quantized LLMs, memory bandwidth, NPU, and dGPU performance.
GPUs & Graphics Cards

Why RAM Exhausts When Running Gemma 4 with llama.cpp

Loaded a model on a GPU with 32GB VRAM, yet the process crashed after just a few prompts. The culprit wasn't low VRAM but system RAM exhaustion.
GPUs & Graphics Cards

MacBook Air M5: 21 Local LLMs Benchmarked for Coding Speed & Quality

We test 21 local LLMs on MacBook Air M5 using HumanEval+ scores and speed, comparing Reddit results against our desktop GPU benchmarks to guide your choice.
AI Video Generation

LTX-1 Production Guide on 16GB VRAM: RTX 5080/5060 Ti Benchmarks

Real-world data on LTX-1 AI video generation using 16GB VRAM (RTX 5080/5060 Ti): 5-min generation time and 15.9 GB peak usage. The v0.9.1 build measured here is licensed for research use only; commercial work needs a v0.9.6 or later checkpoint.