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Hi, I run on google colab. It seems GPU does not work despite it is active in notebook settings. What can be wrong?
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Is it possible to have easy access to an AMI with GPU support and Ubuntu 22.04, which amongst many things would provide more recent Conda versions, please?
For example adding a new tag `skypilot:…
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Sneak preview for H2O's Deep Water project:
https://github.com/h2oai/h2o-3/blob/master/examples/deeplearning/notebooks/deeplearning_benchmark_mnist.ipynb
To try this script yourself on Ubuntu 16 with…
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# Christian Mills - Testing Intel’s Arc A770 GPU for Deep Learning Pt. 4
This post covers my findings testing the first version of Intel’s PyTorch extension to support PyTorch 2.0 on native Ubuntu an…
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### System Info
I'm using the current docker image `ghcr.io/huggingface/text-embeddings-inference:turing-1.5` on Debian 11 with CUDA driver 12.2 and an Nvidia T4 GPU.
### Information
- [X] Docker
-…
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在运行python3 generate_dataset/generate_dataset.py --Nt 64 --Nr 4 --K 8 --dk 2 --B 1 --SNR 0 --SNR_channel 100 --gpu 0 --mode gpu --batch_size 200 --epoch 1000 --factor 时,出现了如下错误
Traceback (most recent …
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# Building My Own Deep Learning Rig · Den Delimarsky
I am diving much deeper into deep learning. And with deep learning, one of the things that can help you the most is a beefy Graphics Processing Un…
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Feature Request:
In our current study project we work with pytorch-lightning (https://lightning.ai/docs/pytorch/stable/) to train our custom LNN model. The problem is that the package works as for …
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### What I did:
On my MBP, M1 Max
```bash
docker pull savatar101/omniparse:0.1
docker run -p 8000:8000 savatar101/omniparse:0.1
```
Then I got the below output:
```bash
==========
== …
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Currently, when trying out [this notebook](https://github.com/NVIDIA/NeMo-Curator/blob/main/tutorials/distributed_data_classification/distributed_data_classification.ipynb) with a CPU Dask DataFrame, …