We have hosted the application sagemaker python sdk in order to run this application in our online workstations with Wine or directly.


Quick description about sagemaker python sdk:

SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow. You can also train and deploy models with Amazon algorithms, which are scalable implementations of core machine learning algorithms that are optimized for SageMaker and GPU training. If you have your own algorithms built into SageMaker-compatible Docker containers, you can train and host models using these as well.

Features:
  • SageMaker Python SDK supports Unix/Linux and Mac
  • Documentation available
  • Examples available
  • The SageMaker Python SDK supports managed training and inference for a variety of machine learning frameworks
  • Amazon SageMaker provides implementations of some common machine learning algorithms optimized for GPU architecture
  • Orchestrate your SageMaker training and inference workflows with Airflow and Kubernetes


Programming Language: Python.
Categories:
Machine Learning, LLM Inference

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