Are you still training ML models with default, slow data loaders? ❌

That's a lot of time and money wasted! 😟

Here's why you should use Deep Lake by @activeloopai data loader to train your models 2x faster 🔥:

Deep Lake stores data in AI-native form - tensors.

It operates kind of "lazily," with data not being loaded into memory.

You can stream Deep Lake datasets from remote storage to GPUs while training, much faster than alternatives.

Deep Lake + SparseML = ❤️

SparseML applies SOTA sparsification algorithms and quantization frameworks to ML models, using pre-configured pipelines.

Why are those two a match made in the cloud?

You can sparsify models 2x faster compared to using other data loaders.

Here's an article where you can learn how to use Deep Lake and SparseML to sparsify a ResNet-50 image classification model.

neuralmagic.com/blog/sparsify-image-classification-models-faster-with-sparseml-and-deep-lake/

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