PyTorch
The deep-learning framework that dominates neural-network research and training.
PyTorch builds and trains neural networks with dynamic computation graphs (define-by-run) and autograd, running tensors on GPU (CUDA/ROCm). It's the de-facto standard for AI research, and torch.compile paired with TorchScript and ONNX export takes a model from prototype to production without a rewrite.
What PyTorch brings to your project.
Typical use cases: Train and deploy custom vision, NLP or LLM models.
- 01
Dynamic graphs and autograd: natural debugging, fast iteration.
- 02
GPU tensors and native distributed multi-GPU training.
- 03
Rich ecosystem: torchvision, torchaudio, Hugging Face, Lightning.
- 04
torch.compile, TorchScript and ONNX export for production.
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Entrust your project to our app experts.
Entrust your project
to our app experts.
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A project with PyTorch?
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