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#Horovod

Showing: 11 courses
Linux Foundation

Efficient Data Parallel Distributed Training with Flyte, Spark and Horovod

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Learn to optimize distributed training using Flyte, Spark, and Horovod for efficient data parallelism in machine learning workflows.
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18 Lesons
41 minutes
On-Demand
Free-Video
Databricks

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

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Discover an automated pipeline for efficient background removal in product images using PyTorch and machine learning, enhancing visual experiences for e-commerce customers.
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8 Lesons
23 minutes
On-Demand
Free-Video
Linux Foundation

Democratizing Deep Learning at Scale with Horovod

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Explore Horovod's capabilities for scaling deep learning across distributed systems, enhancing efficiency and accessibility for AI practitioners and researchers.
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1 Lesons
38 minutes
On-Demand
Free-Video
Linux Foundation

Distributed Deep Learning on Apache Mesos with GPUs and Gang Scheduling

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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.
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25 Lesons
37 minutes
On-Demand
Free-Video
Linux Foundation

How Linux Foundation is Changing the Machine Learning World

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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.
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13 Lesons
35 minutes
On-Demand
Free-Video
Linux Foundation

Large Scale Distributed Deep Learning on Kubernetes Clusters

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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.
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12 Lesons
35 minutes
On-Demand
Free-Video
Linux Foundation

Horovod - Distributed Deep Learning for Reliable MLOps

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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.
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24 Lesons
30 minutes
On-Demand
Free-Video
USENIX

Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks

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Techniques to improve Horovod's communication efficiency in data parallel training, enhancing performance and scalability for deep learning frameworks on supercomputers.
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1 Lesons
17 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

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

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Explore distributed execution of DL/ML jobs in Kubernetes, covering gang scheduling, GPU acceleration, and high-speed networking for improved performance and scalability.
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19 Lesons
33 minutes
On-Demand
Free-Video
Devoxx

Machine Learning Using Kubeflow and Kubernetes

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Explore machine learning workflows on Kubernetes using Kubeflow, covering deployment, training, inference, and advanced features like hyperparameter tuning and automated pipelines.
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20 Lesons
51 minutes
On-Demand
Free-Video
Anyscale

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

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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.
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1 Lesons
32 minutes
On-Demand
Free-Video