How to Scale Your Model: How to Think About GPUs(jax-ml.github.io)

84 points by matt_d 1 year ago | 5 comments

Modern GPU Programming for MLSys(mlc.ai)

68 points by crowwork 4 months ago | 15 comments

Inside vLLM: Anatomy of a High-Throughput LLM Inference System (2025)(aleksagordic.com)

127 points by sebg 2 months ago | 8 comments

GPU Programming: When, Why and How?(enccs.github.io)

142 points by transpute 3 years ago | 37 comments

Were RNNs all we needed? A GPU programming perspective(dhruvmsheth.github.io)

88 points by omegablues 1 year ago | 24 comments

Deploying DeepSeek on 96 H100 GPUs(lmsys.org)

269 points by GabrielBianconi 1 year ago | 76 comments

What every developer should know about GPU computing(codeconfessions.substack.com)

422 points by Anon84 3 years ago | 149 comments

A Substack primer by Abhinav Upadhyay explaining GPU architecture and computing concepts for software developers familiar mainly with CPUs.

GPUs Go Brrr(hazyresearch.stanford.edu)

1056 points by nmstoker 2 years ago | 243 comments

Stanford Hazy Research blog post on what GPU hardware wants for efficient AI kernels, introducing the ThunderKittens CUDA kernel library.

Gemma 3 QAT Models: Bringing AI to Consumer GPUs(developers.googleblog.com)

571 points by emrah 1 year ago | 259 comments

Google Developers Blog post announcing Gemma 3 models trained with quantization-aware training so they can run on consumer GPUs.

The GPU, not the TPM, is the root of hardware DRM(mjg59.dreamwidth.org)

399 points by DvdGiessen 1 year ago | 408 comments

Blog post by Matthew Garrett arguing that GPUs, not TPMs, are the real root of hardware DRM; the capture shows a Dreamwidth captcha page instead.

A hacker's guide to language models [video](youtube.com)

749 points by rrampage 3 years ago | 35 comments

YouTube video by Jeremy Howard titled "A Hackers' Guide to Language Models," a code-first introduction to using and understanding LLMs.

TPUs vs. GPUs and why Google is positioned to win AI race in the long term(uncoveralpha.com)

375 points by vegasbrianc 11 months ago | 278 comments

A Substack deep dive from UncoverAlpha on Google's TPU chips, covering their technical design, strategic position versus GPUs, and financial implications for AI inference.