What Is the Thermodynamic Limit on Energy Per LLM Token?
prateekj · x · 2026-08-14
This thread explores the theoretical lower bound of energy consumption per generated token. Based on Landauer's principle, erasing a single classical bit at room temperature requires at least 2.9 x 10^-21 joules, an experimentally demonstrated thermodynamic limit.
However, this does not represent a meaningful minimum energy for AI inference. In the real world, generating a token involves storing state, moving signals, suppressing noise, correcting errors, and synchronizing components. Current computers operate many orders of magnitude above the Landauer limit.
More from Infra
- NVIDIA's NeMo Switchyard: Model Routing as the Agent Budget Manager — krishnan · 2026-08-14
- Running MiniMax H3 on RTX 5060 Ti: Resolution is the Real Bottleneck — danielcar · 2026-08-14
- RTX Pro 6000 Price Hikes: Buy a Workstation, Get the Rest for Free — Mr_Moonsilver · 2026-08-14
- NVIDIA Sol Engine Accelerates LTX-2.5 Video Generation by up to 4.68x — gan_chuang · 2026-08-14
- Running 2.4T Qwen3.8 Model on RTX 5090 + 5060 Ti: 0.8 tok/s Tested — mossy_troll_84 · 2026-08-14
- Cerebras and Cisco Shares Plunge Despite Strong Earnings Amid AI Supply Chain Bottlenecks — TiernanRayTech · 2026-08-14