DeepSeek Drastically Reduces Training Compute Costs Across Models

DeepSeek has drastically reduced its training compute costs across model generations. The latest V4-Flash model requires only 66,000 GPU hours to train 1T tokens, a significant drop from the 300,000 hours needed for V1, showcasing extreme efficiency in MoE architecture.

2026-08-01 ~ 2026-08-01 · 2 related posts

• DeepSeek-V3 Trained With Only 180K GPU-Hours, Slashing MoE Compute Costs — teortaxesTex · 2026-08-01
• DeepSeek V4-Flash Slashes Compute to 66K GPU-hours Per 1T Tokens — teortaxesTex · 2026-08-01