16GB (often 12GB) is the realistic VRAM ceiling for most people running local AI
ECrispy · reddit · 2026-09-21
The author argues the local LLM community is heavily skewed toward high-end setups: even 24GB cards are financially out of reach for most, let alone multi-GPU rigs or pricey Macs/Strix Halo. Globally, 16GB is effectively the high end, and 12GB is a luxury in much of the world.
Recent progress is real: agentic coding is now feasible on 16GB cards (e.g., Qwen 27B quants). Small models still hit hard limits on world knowledge. The real fix, he argues, is new architectures beyond Transformers and techniques that don't depend on VRAM/bandwidth.
More from Infra
- Omarchy 4.6 lets you share local AI models across your tailnet, says DHH — alexcovo_eth · 2026-11-12
- Eric Schmidt's foundation funds French NGO fighting against data centers — StephanSturges · 2026-11-12
- Epoch: Open-Weight GLM 5.3 Hacks Six Firefox Versions for ~$1,000 Each; Claude Fable 5.2 Sets ECI Record — Epoch AI · 2026-11-12
- Polymarket prices 28% odds of a state data center moratorium; Torus raises $500M — Polymarket · 2026-11-12
- AWS-wrapper cloud startup shuts down just one month after seed round — thedealdirector · 2026-11-12
- Utah startup Torus raises $500M for shipping container-sized AI data centers deployable in 4 months — Polymarket · 2026-11-12