Linking pages
- GitHub - horovod/horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. https://github.com/uber/horovod 9 comments
- Keras + Horovod = Distributed Deep Learning on Steroids | by Nischal HP | omni:us | Medium https://medium.com/searchink-eng/keras-horovod-distributed-deep-learning-on-steroids-94666e16673d 8 comments
- The 7 Questions You Need to Ask to Operate Deep Learning Infrastructure at Scale — James Le https://jameskle.com/writes/deep-learning-infrastructure-tooling 1 comment
- Barrier Execution Mode in Spark 3.0 - Part 1 : Introduction http://blog.madhukaraphatak.com/barrier-execution-mode-part-1/ 0 comments
- GitHub - tmulc18/DistributedDeepLearningReads: Papers and blogs related to distributed deep learning https://github.com/tmulc18/DistributedDeepLearningReads 0 comments
- GitHub - binhnguyennus/awesome-scalability: The Patterns of Scalable, Reliable, and Performant Large-Scale Systems https://github.com/binhnguyennus/awesome-scalability 0 comments
- Uber Data Science Interview. The goal of Acing AI is to learn about… | by Vimarsh Karbhari | Acing AI | Medium https://medium.com/acing-ai/uber-ai-interview-questions-acing-the-ai-interview-9532794bc057 0 comments
- Kubernetes, The Open and Scalable Approach to ML Pipelines | by yaron haviv | Towards Data Science https://towardsdatascience.com/kubernetes-the-open-and-scalable-approach-to-ml-pipelines-1e972a965f0d 0 comments
- Towards MLOps: Technical capabilities of a Machine Learning platform | by Theofilos Papapanagiotou | Prosus AI Tech Blog | Medium https://medium.com/prosus-ai-tech-blog/towards-mlops-technical-capabilities-of-a-machine-learning-platform-61f504e3e281 0 comments