All New Mistakes
Ganesh RavichandranI'm fairly alarmed here. Previous founding engineer @ SOOT. Traveled around the world looking for the most beautiful hike. Writes about scaling AI infrastructure and mechanistic interpretability.
| Platform |  | Pricing | Only free issues | Publishes | Infrequently |
|---|---|---|---|---|---|
| Issues | 6 | Subscribers | Read | thebatmanofbutler.substack.com |
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Distributed Data Parallelism in JAX
After building a quad-GPU cluster at home, attempting to train GPT-2 despite severe memory constraints, and doing some early memory optimizations, I wanted to take a step back and understand distributed training at a more fundamental level....
Trading Compute for Memory: Using Activation Recomputation with GPT2
One of the most obvious patterns that we can notice when running training on transformers is that activations take up the most memory:
Building Deep Learning Intuition on a consumer GPU: Memory Profiling GPT-2 Training
### The Craigslist post
Why do we need more than PyTorch for LLM training?
Photo by Evan Dennis on Unsplash
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