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AWS Marketplace Software
PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu
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PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu

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4.6 out of 5

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PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu

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PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu

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PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu Pros and Cons: Top Advantages and Disadvantages

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Users notice a significant performance improvement with new tensor functions, enhancing their PyTorch experience on GPUs. (1 mentions)

2 PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu Reviews

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PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu Pros and Cons

How are these determined?

Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.

Pros

Performance

1

Cons

This product has not yet received any negative sentiments.

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Enterprise (> 1000 emp.)

12/17/2021

"Solves complex computing"

4.5/5

What do you like best about PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu?

Performance Improvement,New Tensor Functions Review collected by and hosted on G2.com.

What do you dislike about PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu?

Limited support for issues, unreduced losses. Review collected by and hosted on G2.com.

What problems is PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu solving and how is that benefiting you?

Detection and Recognition problems. Softmax and log_softmax are now much faster after rewriting the gpu kernels. Review collected by and hosted on G2.com.

At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review.

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Rahul K.

Mid-Market (51-1000 emp.)

2/2/2024

"A Description of Py Torch 0.3 Python 2.7 NVidia GPU CUDA 9"

4.5/5

What do you like best about PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu?

Performance Improvement and a new Tensor functions are used Review collected by and hosted on G2.com.

What do you dislike about PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu?

It's supported for limited issues occurred Review collected by and hosted on G2.com.

What problems is PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9 on Ubuntu solving and how is that benefiting you?

It's is used to Recognition problem.And faster things are Softmax and log_softmax by using GPU kernels Review collected by and hosted on G2.com.

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This reviewer was offered a nominal gift card as thank you for completing this review.

Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.

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