Reddit: 4-bit quantization could cut memory 75%, but incentives block it
Excellent_Place4977 · reddit · 2026-10-31
A Reddit user argues that quantizing models from 16-bit to 4-bit or 2-bit could slash memory needs by 75% with minimal intelligence loss — like compressing raw video to MP4. Two things stop big companies: retraining requirements, and the fact that low-resource inference undermines business models built on massive infrastructure capex. A personal take with rough reasoning.
More from Infra
- Frontier AI experimentation remains costly even with heavy subsidies, practitioner says — andreisavu · 2026-10-31
- Resin adds tiered storage for KV cache, letting CPU memory extend GPU KV capacity — andersonbcdefg · 2026-10-31
- llmlip-rs: Rust MLIP inference engine runs 6000-atom sims 17.7x faster than PyTorch MACE — CatAstro_Piyush · 2026-10-31
- MOSS Image + NVIDIA PiD skips VAE decoding to spit out 4K images in seconds — TimeTruth2490 · 2026-10-31
- Anthropic S-1 math: subscriptions are ~18% of revenue but burn over half the compute — teortaxesTex · 2026-10-31
- NVIDIA discloses Brev platform breach: SSH keys exposed Oct 4–20 — HowDevelop · 2026-10-31