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I wonder how much overhead does soperator introduces in ML, compared with **native slurm**. This is an important concern and I want to know if you have any statistics.
## Some scenarios
### Sing…
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How do we perform distributed training in this project? or how to modify the code for distributed training? Thank you very much!!!
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I get `CUDA Error: misaligned address` when running the tp comm overlap unit test with recent pytorch container.
I think the error comes from the cublas versions that enables `nvjet`.
```
[rank1]: Tra…
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### Multi-node TPU Training with JAX
The [multi-GPU JAX training guide](https://keras.io/guides/distributed_training_with_jax/) is helpful, but it's unclear how to extend this to multi-node TPU set…
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I met a quite quirky issue. I used 2 p4d.24xlarge (8xA100) in AWS to train my model. The bash code first download data and only when data finishes downloading, does the training process starts by runn…
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I am using distributed training with FastDP and have questions about its integration with Deepspeed. This is my first time using Deepspeed, and I apologize if some of these questions are trivial:
1…
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I met a quite quirky issue. I used 2 p4d.24xlarge (8xA100) in AWS to train my model. The bash code first download data and only when data finishes downloading, does the training process starts by runn…
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- scaling
- distributed training
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Hi, just wondering if distributed training works the way I think it does where GPU VRAM is shared between all available GPUs enabling larger batch sizes/higher resolutions training images etc... I am …