Develop, train, and deploy sophisticated AI models at scale. PyRun handles the cloud complexity, so you can focus on innovation.
Simplify complex AI pipelines. PyRun's integrated environment and automated management let you focus on model development and experimentation.
Easily configure runtimes for TensorFlow, PyTorch, Scikit-learn, Dask-ML, and more using PyRun's Runtime Management.
Run and experiment with Large Language Models (LLMs) like Llama 3 locally within your PyRun workspace using Ollama, directly via notebooks.
Get started quickly with pre-built AI pipelines showcasing PyRun's capabilities for various ML tasks.
An AI pipeline for audio keyword recognition using TensorFlow. Demonstrates audio data preprocessing, model training, and inference.
Shows how to use Dask-ML for distributed machine learning tasks, scaling your model training across multiple nodes for efficiency.
An AI pipeline for image classification tasks using TensorFlow. Covers data loading, model building, data augmentation, and evaluation.
An interactive notebook environment to run and experiment with Large Language Models (LLMs) like Llama 3 locally within your PyRun workspace using Ollama.
This is just the beginning! We are committed to making PyRun an even more powerful platform for AI development. Future enhancements will focus on:
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