From model.generate() to the Roofline Model: The Physics of Prefill and Decode Divergence
This story is from 2026-10-21. It is preserved in the archive; the latest stories are on the live feed.
Introduction: The Dormant Tensor Cores of model.generate() When software engineers first transition from machine learning modeling to high-performance inference systems, the textbook entry point in PyTorch and Hugging Face looks deceptively straightforward: import torch from transformers import Aut…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-10-21 00:54 · DEV Community — AI
From model.generate() to the Roofline Model: The Physics of Prefill and Decode Divergence
More stories
- DeepSeek V4.1 Flash is now available in Token Pass — Vercel Blog
- ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model — Hugging Face Blog
- Hugging Face ❤️ TorchTPU: TPUs, Natively — Hugging Face Blog
- Amazon SageMaker JumpStart: 2026 year-to-date in review — AWS Machine Learning Blog
- Hugging Face CEO warns that Netflix's OpenAI hack documentary isn't accurate — TechCrunch AI
- Tried LFM2.5-24-A2B. It's crap — r/LocalLLaMA
- Know if an LLM fits your GPU before you download it — DEV Community — Machine Learning
- Spark-X2.6 leaked on HF before its official release (Oct 22) — r/LocalLLM
Get the daily brief of stories like this at 6:30 every morning →