Horovod Courses and Certifications

Democratizing Deep Learning at Scale with Horovod

Explore Horovod's capabilities for scaling deep learning across distributed systems, enhancing efficiency and accessibility for AI practitioners and researchers.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Efficient Data Parallel Distributed Training with Flyte, Spark and Horovod

Learn to optimize distributed training using Flyte, Spark, and Horovod for efficient data parallelism in machine learning workflows.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Horovod - Distributed Deep Learning for Reliable MLOps

Explore Uber's Horovod framework for distributed deep learning, covering its adoption, techniques, and integration with Spark for efficient large-scale model training and deployment.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Devoxx

Machine Learning Using Kubeflow and Kubernetes

Explore machine learning workflows on Kubernetes using Kubeflow, covering deployment, training, inference, and advanced features like hyperparameter tuning and automated pipelines.

• YouTube
• 51 minutes
• On-Demand
• Conference Talk

Databricks

Automated Background Removal Using PyTorch - Wehkamp's Image Processing Pipeline

Discover an automated pipeline for efficient background removal in product images using PyTorch and machine learning, enhancing visual experiences for e-commerce customers.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Anyscale

Predibase: A Low-Code Deep Learning Platform Built for Scale

Explore Predibase: a low-code deep learning platform combining large-scale ML with state-of-the-art architectures for NLP, computer vision, and tabular data, built on Ludwig and Ray for scalable, end-to-end solutions.

• YouTube
• 32 minutes
• On-Demand
• Free Video

USENIX

Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks

Techniques to improve Horovod's communication efficiency in data parallel training, enhancing performance and scalability for deep learning frameworks on supercomputers.

• YouTube
• 17 minutes
• On-Demand
• Conference Talk

How Linux Foundation is Changing the Machine Learning World

Explore Linux Foundation's initiatives in AI, including open-source projects like Acumos AI and Horovod, aimed at reducing fragmentation and fostering collaboration in machine learning development.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Large Scale Distributed Deep Learning on Kubernetes Clusters

Explore distributed deep learning deployment on Kubernetes, comparing tf-operator and mpi-operator for TensorFlow training jobs, and optimizing resource utilization for better economics in machine learning tasks.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Distributed Deep Learning on Apache Mesos with GPUs and Gang Scheduling

Explore distributed deep learning on Apache Mesos, leveraging GPU clusters for efficient model training in self-driving cars, trip forecasting, and fraud detection at UBER.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Production Multi-node Jobs with Gang Scheduling, K8s, GPUs and RDMA

Explore distributed execution of DL/ML jobs in Kubernetes, covering gang scheduling, GPU acceleration, and high-speed networking for improved performance and scalability.

• YouTube
• 33 minutes
• On-Demand
• Conference Talk