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Update README with CUDA 124 #2506

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9 changes: 9 additions & 0 deletions README.MD
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Expand Up @@ -8,6 +8,7 @@ TorchRec has been used to accelerate advancements in recommendation systems, som
* [Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation](https://arxiv.org/abs/2403.00877) paper
* [The Algorithm ML](https://github.com/twitter/the-algorithm-ml) from Twitter
* [Training Recommendation Models with Databricks](https://docs.databricks.com/en/machine-learning/train-recommender-models.html)
* [Toward 100TB model with Embedding Offloading Paper](https://dl.acm.org/doi/10.1145/3640457.3688037)


## Introduction
Expand Down Expand Up @@ -39,6 +40,10 @@ Check out the [Getting Started](https://pytorch.org/torchrec/setup-torchrec.html

1. Install pytorch. See [pytorch documentation](https://pytorch.org/get-started/locally/).
```
CUDA 12.4

pip install torch --index-url https://download.pytorch.org/whl/nightly/cu124

CUDA 12.1

pip install torch --index-url https://download.pytorch.org/whl/nightly/cu121
Expand All @@ -60,6 +65,10 @@ Check out the [Getting Started](https://pytorch.org/torchrec/setup-torchrec.html

3. Install FBGEMM.
```
CUDA 12.4

pip install fbgemm-gpu --index-url https://download.pytorch.org/whl/nightly/cu124

CUDA 12.1

pip install fbgemm-gpu --index-url https://download.pytorch.org/whl/nightly/cu121
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