Trading FLOPs for HBM memory emerges as inference optimization trend

As FLOPs get cheaper relative to HBM memory, algorithms are shifting to trade compute for memory; DeepSeek's Engram architecture, adopted by Qwen and Longcat, hosts larger embeddings on cheaper memory.

2026-09-02 ~ 2026-09-02 · 3 related posts

• Sharon Zhou: As FLOPs get cheap vs HBM, algorithms will trade compute for memory — realSharonZhou · 2026-09-02
• DeepSeek's Engram architecture adopted by Qwen and Longcut to save HBM — bookwormengr · 2026-09-02
• DeepSeek's Engram and Linear Attention: Trading FLOPs for HBM in Inference — bookwormengr · 2026-09-02