Model response speed is mostly memory bandwidth, not compute — and Rubin regressed
AIFlow_ML · x · 2026-10-28
AIFlowML offers a simple rule: how fast a model answers is mostly memory speed, not compute. NVIDIA Rubin got less memory speed with the same compute, so single quick chats will feel it most.
More from Infra
- fal.ai publicly hunting for B300/GB300 compute, 1MW+ chunks, delivery before year-end — isidentical · 2026-10-28
- EmbeddingGemma2 Turned Into a 20ms Real-Time Trainable Multimodal Endpoint on CPU — michellechen · 2026-10-28
- Seagate dips after 142% YTD surge, but AI-driven HDD boom keeps margins at records — TiernanRayTech · 2026-10-28
- NetBox Labs partnership targets AI factory config drift, chasing time-to-first-token — ai · 2026-10-28
- US holds 72% of world AI compute as EU's 5% share falls far below its 15% GDP weight — Jsevillamol · 2026-10-28
- Nvidia and Oracle to scale Vera Rubin NVL72 clusters on OCI to multi-gigawatt level — Beth_Kindig · 2026-10-28