Available Amazon SageMaker Kernels - Amazon SageMaker

Available Amazon SageMaker Kernels

The following Amazon SageMaker kernels are available in SageMaker Studio. The name in parentheses is the SageMaker image hosting the kernel.

Data Science is a Conda image with the most commonly used Python packages and libraries, such as NumPy and scikit-learn.

  • Python 3 (Data Science) with Python 3.7

  • PySpark (SparkMagic) with Python 3.6

  • Python 3 (Base Python) with Python 3.6

  • Python 3 (MXNet 1.6 Python 3.6 CPU Optimized)

  • Python 3 (MXNet 1.6 Python 3.6 GPU Optimized)

  • Python 3 (MXNet 1.8 Python 3.7 CPU Optimized)

  • Python 3 (MXNet 1.8 Python 3.7 GPU Optimized)

  • Python 3 (PyTorch 1.4 Python 3.6 CPU Optimized)

  • Python 3 (PyTorch 1.4 Python 3.6 GPU Optimized)

  • Python 3 (PyTorch 1.6 Python 3.6 CPU Optimized)

  • Python 3 (PyTorch 1.6 Python 3.6 GPU Optimized)

  • Python 3 (PyTorch 1.8 Python 3.6 CPU Optimized)

  • Python 3 (PyTorch 1.8 Python 3.6 GPU Optimized)

  • Python 3 (SageMaker JumpStart Data Science 1.0) with Python 3.7

  • Python 3 (SageMaker JumpStart MXNet 1.0) with Python 3.7

  • Python 3 (SageMaker JumpStart PyTorch 1.0) with Python 3.7

  • Python 3 (SageMaker JumpStart TensorFlow 1.0) with Python 3.7

  • Python 3 (TensorFlow 1.15 Python 3.6 CPU Optimized)

  • Python 3 (TensorFlow 1.15 Python 3.6 GPU Optimized)

  • Python 3 (TensorFlow 1.15 Python 3.7 CPU Optimized)

  • Python 3 (TensorFlow 1.15 Python 3.7 GPU Optimized)

  • Python 3 (TensorFlow 2.1 Python 3.6 CPU Optimized)

  • Python 3 (TensorFlow 2.1 Python 3.6 GPU Optimized)

  • Python 3 (TensorFlow 2.3 Python 3.7 CPU Optimized)

  • Python 3 (TensorFlow 2.3 Python 3.7 GPU Optimized)

  • Python 3 (TensorFlow 2.6 Python 3.8 CPU Optimized)

  • Python 3 (TensorFlow 2.6 Python 3.8 GPU Optimized)