PulseAugur
EN
LIVE 13:34:20

Nvidia Titan cards debated for LLM viability on r/LocalLLaMA

Users on the r/LocalLLaMA subreddit are discussing the viability of older Nvidia Titan graphics cards for running large language models like Gemma and Qwen. The primary concern revolves around memory bandwidth and VRAM capacity, with participants comparing older Titan models (12GB) to newer consumer cards. While older Titans offer competitive or superior memory bandwidth, their power consumption and age are noted drawbacks. AI

IMPACT Discussion on hardware suitability for running local LLMs.

RANK_REASON Discussion on a subreddit about the viability of older hardware for AI tasks.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Desther ·

    Are older Titan cards still viable?

    <!-- SC_OFF --><div class="md"><p>Looking at older Nvidia cards under £200 for Gemma/Qwen MOE coding. Is there any reason to avoid older Titan 12GB cards other than being power hungry? They have more memory bandwidth than the newer consumer cards</p> <p>Titan X 12GB 480GB/s</p> <…