Tooling
AMD Dual-GPU Setup Achieves 48GB VRAM for Local LLM Inference
A developer successfully configured two AMD graphics cards totaling 48GB of VRAM to run llama-cpp inference on Linux using Vulkan, sidestepping compatibility issues with ROCm.
1 min read
Sourcer/localllama
A developer has successfully deployed a dual-GPU setup combining an AMD R9 7900 AI PRO (32GB) and a Radeon 7800 XT (16GB) to run local large language model inference via llama-cpp, achieving 48GB of usable VRAM on Kubuntu 24.04.
The builder initially attempted to use AMD's ROCm compute stack but en...
Sign in to read the full analysis
Free — just an email. Get full analysis on LLM unit economics, plus the weekly Cost-of-Inference column.
Method & sources
- Source type
- Primary publication (lab/vendor blog) — our analysis + implication
- Source link
- r/localllama
- Published
- UTC
- Byline
- By the gotcontext.ai team (editorial standards)
- Correction?
- corrections@gotcontext.ai