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

Screenshot of jax-ml.github.io: How to Scale Your Model: How to Think About GPUs

First screen, captured 1 year ago.

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Screenshot of jax-ml.github.io: How to Think About GPUs

How to Think About GPUs (jax-ml.github.io)

361 points by alphabetting 1 year ago | 107 comments

Part 12 of Google's "How To Scale Your Model" book, a deep dive into how NVIDIA GPUs work and are networked, and what that means for LLMs compared to TPUs.

gpus nvidia tpus llm-scaling

Screenshot of mlc.ai: Modern GPU Programming for MLSys

Modern GPU Programming for MLSys (mlc.ai)

68 points by crowwork 4 months ago | 15 comments

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

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

127 points by sebg 2 months ago | 8 comments

Screenshot of enccs.github.io: GPU Programming: When, Why and How?

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

142 points by transpute 3 years ago | 37 comments

Screenshot of dhruvmsheth.github.io: Were RNNs all we needed? A GPU programming perspective

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

88 points by omegablues 1 year ago | 24 comments

Screenshot of lmsys.org: Deploying DeepSeek on 96 H100 GPUs

Deploying DeepSeek on 96 H100 GPUs (lmsys.org)

269 points by GabrielBianconi 1 year ago | 76 comments

Looks similar

How to Think About GPUs(jax-ml.github.io)

Modern GPU Programming for MLSys(mlc.ai)