How DeepSeek-R1 Achieves Faster, Cheaper Inference
DeepSeek-R1 achieves faster and cheaper inference than dense 70B models through its Mixture of Experts (MoE) architecture and sparse parameter activation. The model also utilizes MLA technology to compress KV cache, significantly reducing memory bandwidth bottlenecks during long-context processing.
2026-07-08 ~ 2026-07-08 · 3 related posts
- Why DeepSeek-R1 is Faster and Cheaper — Abhishekcur · 2026-07-08
- How MLA Compresses KV Cache — Abhishekcur · 2026-07-08
- The Compute and Bandwidth Logic Behind Inference Optimization — Abhishekcur · 2026-07-08