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NVIDIA TensorRT vs Paperspace Gradient

What both publish

FactNVIDIA TensorRTPaperspace Gradient
PurposeTensorRT is an ecosystem of inference compilers, runtimes, and model optimization tools for high-performance deep learning inference.Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models.

NVIDIA TensorRT plans

  • TensorRTFree
  • NVIDIA AI EnterprisePriced on request

Paperspace Gradient plans

  • Free (Individual)Free
  • Pro (Individual)$8 a month
  • Growth (Individual)$39 a month
  • Free (Team)Free
  • Pro (Team)$12 a month
  • Growth (Team)$39 a month

Pick NVIDIA TensorRT if…

TensorRT suits developers optimizing inference on supported NVIDIA hardware, including teams working with ONNX, PyTorch, Hugging Face, or TensorRT-LLM. Users should be prepared to manage platform-specific engines and handle engine files as trusted code.

Pick Paperspace Gradient if…

Gradient is aimed at people and teams developing or serving machine learning models, including engineers, data scientists, researchers, and startups. Its browser notebooks, collaboration features, and deployment endpoints support different stages of model work.

Charts they share