🏃♀️ Runhouse 🏠
Blog
About
Kubetorch Examples
Hello, World (MNIST Training)
Training
PyTorch
Ray (Tune - HPO)
Ray (Train, Data - DLRM)
Lightning (ImageNet)
Dask (LightGBM)
TensorFlow
Inference
DeepSeek R1 - vLLM
Llama 70B - HF Accelerate
Batch Embeddings
RAG App (Composite AI System)
More Topics
Fine Tuning (Llama 3)
Recurring Training in Airflow
Examples Archive
A full list of current and past Runhouse examples:
ResNet Lightning Training
LangChain RAG App on AWS EC2
Using Airflow with Runhouse for Model Training
Embarrassingly Parallel GPU Jobs - Batch Embeddings
Using Argo with Runhouse for Model Training
Dask Distributed Processing and LightGBM Training
TensorFlow Multi-Node Distributed Training
Llama 70B Inference with Accelerate
Ray Hyperparameter Optimization
Llama 2 7B Model with TGI on AWS EC2
PyTorch Multi-Node Distributed Training
Llama 2 Fine Tuning with LoRA on AWS EC2
Stable Diffusion XL 1.0 on AWS EC2
Using Kubeflow with Runhouse for Model Training
Launching a Single Training Pipeline Multi-Cloud with Airflow
RAG App with Vector Embedding and LLM Generation
Train ModernBERT with Medical Knowledge
Llama 3 8B Chat Model Inference on AWS EC2
Ray Distributed DLRM
Embedding Batch Inference
Llama 2 7B Model on AWS Inferentia
DeepSeek R1 Inference - Llama70B Distill
Mistral 7B Model with TGI on AWS EC2
Stable Diffusion XL 1.0 on AWS Inferentia
Llama 2 Chat Model Inference on AWS EC2
Mistral 7B Model on AWS Inferentia
Run Llama 3 8B with vLLM on GCP
Train a Simple Neural Network for Image Classification with PyTorch
Fine-Tune Llama 3 with LoRA on AWS EC2