The Machine Learning Surgeon
Dario SalvatiA surgeon for Machine Learning models.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 16 | Subscribers | Read | themlsurgeon.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Pipeline Parallelism: Surgery on Models Too Big for the Operating Table
In our latest article, we explored Data Parallelism. While this parallelization technique clearly boosts training efficiency and resource utilization, it has a fundamental limitation: it doesn’t help us train larger models or reduce the har...
Data Parallelism: Scaling LLM Training Through Parallel Processing
In my latest article , I discussed the theoretical memory usage needed for inference and training with LLMs, highlighting the memory cost of each component involved in the process. Luckily for us, there exist many techniques that allow us t...
The Memory Anatomy of Large Language Models: A Surgeon's Guide
Picture this: you’re about to deploy a shiny new 70-billion parameter language model, and your colleague asks the dreaded question: “How much GPU memory do we need?”. You pause, calculator in hand, realizing that the answer isn’t just “big ...
From Sequential to Parallel: Your Journey into GPU Programming with Triton
We all know that GPU programming is hard. There are many layers of complexity that make writing a kernel difficult: thinking in a parallel way (which goes against our natural sequential thinking), understanding the math behind a certain ope...
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Authors
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Machine Learning Engineer
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