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User seeks optimal local LLM setup for 16GB VRAM, 128GB RAM

A user on r/LocalLLaMA is seeking advice on optimizing their system for running large language models locally, specifically with 16 GB of VRAM and 128 GB of RAM. They are experimenting with models like Qwen 3.6 35B A3B and Deepseek V4 Flash 0731, aiming for high performance for coding assistance and agentic tasks. The user believes there's an untapped potential in AI-assisted coding that balances speed and efficiency, moving beyond simple autocomplete and full agents. AI

IMPACT Guidance for users optimizing local LLM performance on consumer hardware.

RANK_REASON User seeking advice on hardware/software configuration for local LLM use.

Read on r/LocalLLaMA →

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

User seeks optimal local LLM setup for 16GB VRAM, 128GB RAM

COVERAGE [1]

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

    Best Setup for a 16 GB VRAM + 128 GB RAM System?

    <!-- SC_OFF --><div class="md"><p>Running a 12700k + 5060 Ti 16 gb with 128 gb DDR4 ram and I'm wondering what's the ideal setup to maximize performance. I did some preliminary stuff but I have to admit, I'm still learning and kinda just copy/pasting llama.cpp commands to the ter…