DeepSeek Engram Discussion: Semantic Retrieval That Cuts HBM Needs

In discussions of DeepSeek's Engram, researchers explain it is a semantic retrieval system rather than a computational one, cutting HBM storage needs by 40-50%, though bandwidth remains the bigger constraint given sparsity already reaches 90%.

2026-09-22 ~ 2026-09-22 · 4 related posts

• Engram retrieval won't replace FFNs, but cutting 40-50% of HBM needs is the real win — bookwormengr · 2026-09-22
• Engram is a retrieval system of meaning, saving both HBM storage and bandwidth — teortaxesTex · 2026-09-22
• DeepSeek Engram debate: bandwidth, not storage, is the real constraint — bookwormengr · 2026-09-22
• Huawei's HiZQ is real HBM; DeepSeek's designs all target bandwidth, not storage — zephyr_z9 · 2026-09-22