Sharon Zhou: As FLOPs get cheap vs HBM, algorithms will trade compute for memory
realSharonZhou · x · 2026-09-02
Sharon Zhou (founder of Lamini) argues that with the relative cost of FLOPs per token versus HBM per token dropping, a large wave of algorithms, architecture changes, and performance optimizations that trade more FLOPs for less memory is coming — and she's excited to see what gets invented.
More from Infra
- Sequoia invests $100M in Form Energy's iron-air batteries for the AI grid — DavidCahn6 · 2026-09-02
- DuckDB async I/O boosts speed: HF dataset reads 2-3x faster — vanstriendaniel · 2026-09-02
- GitHub Auto-Ban on Core Contributor Sparks Developer Concerns — braelyn_ai · 2026-09-02
- einopx: A unified JAX-native array pattern API — A_K_Nain · 2026-09-02
- Data centers provide nearly 50% of property tax in richest US county — aleximm · 2026-09-02
- Google details its full AI stack for developers — fhinkel · 2026-09-02