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tchaton authored Jul 7, 2024
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Expand Up @@ -645,9 +645,9 @@ Time to optimize 1.2 million ImageNet images (Faster is better):

## Parallelize data transforms

Transformations with LitServe are linearly parallelizable across machines.
Transformations with LitData are linearly parallelizable across machines.

For example, let's say that it takes 56 hours to embed a dataset on a single A10G machine. With LitServe,
For example, let's say that it takes 56 hours to embed a dataset on a single A10G machine. With LitData,
this can be speed up by adding more machines in parallel

| Number of machines | Hours |
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