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
- Qdrant experiments: 10→500 candidate depth lifts best-possible nDCG by 0.28 but real score by ≤0.01 — qdrant_engine · 2026-09-21
- gemini-cli PR Fixes Process Hang on Exit via stdin and MCP Child Process Cleanup — Pcmhacker-piro · 2026-09-21
- Daniel Lemire Tests Whether CPUs Can Take More Than One Branch Per Cycle — lemire · 2026-09-21
- Qwen3.8-27B in native 8-bit hits 37-55 tok/s on Apple Silicon, avoiding the 4-bit reasoning cliff — SnooPredictions515 · 2026-09-21
- Google's Orphaned VMs Patches Keep VMs Running While Host Kernel Goes Offline — jedisct1 · 2026-09-21
- djev-run Deploys DiffusionGemma on Cloud Run's RTX PRO 6000 Blackwell for ~$3/hr — bodonoghue85 · 2026-09-21