Linking pages
- Ray: A Distributed Framework for Emerging AI Applications https://www.micahlerner.com/2021/06/27/ray-a-distributed-framework-for-emerging-ai-applications.html 34 comments
- Anna: A KVS for any scale | the morning paper https://blog.acolyer.org/2018/03/27/anna-a-kvs-for-any-scale/ 31 comments
- Announcing Ursa Labs: an innovation lab for open source data science - Wes McKinney http://wesmckinney.com/blog/announcing-ursalabs/ 12 comments
- The ants and the pheromones | the morning paper https://blog.acolyer.org/2021/02/08/the-ants-and-the-pheromones/ 6 comments
- Intel at 50: Innovation Platform for a New Era | Intel Newsroom https://newsroom.intel.com/editorials/intel-50-innovation-platform-new-era/ 6 comments
- The State of the Serverless Art. The Hydro team in Berkeley’s RISELab is… | by Joe Hellerstein | riselab | Medium https://medium.com/riselab/the-state-of-the-serverless-art-78a4f02951eb 4 comments
- GitHub - mc2-project/mc2: A Platform for Secure Analytics and Machine Learning https://github.com/mc2-project/mc2 2 comments
- GitHub - mc2-project/secure-xgboost: Secure collaborative training and inference for XGBoost. https://github.com/mc2-project/secure-xgboost 1 comment
- SkyPilot: ML and Data Science on any cloud with massive cost savings | by Zongheng Yang | Nov, 2022 | Medium https://medium.com/@zongheng_yang/skypilot-ml-and-data-science-on-any-cloud-with-massive-cost-savings-244189cc7c0f 1 comment
- Cloudburst: stateful functions-as-a-service | the morning paper https://blog.acolyer.org/2020/02/07/cloudburst/ 0 comments
- GitHub - hydro-project/anna: A low-latency, cloud-native KVS https://github.com/hydro-project/anna 0 comments
- Latest Innovations in TensorFlow Serving – Google AI Blog https://research.googleblog.com/2017/11/latest-innovations-in-tensorflow-serving.html 0 comments
- PyWren 0.1 - pywren http://pywren.io/release-0.1.html 0 comments
- Modern Parallel and Distributed Python: A Quick Tutorial on Ray - RISE Lab https://rise.cs.berkeley.edu/blog/modern-parallel-and-distributed-python-a-quick-tutorial-on-ray/ 0 comments
- Amazon, Google, Huawei, and Microsoft sponsor UC Berkeley RISELab, AMPLab's successor | VentureBeat http://venturebeat.com/2017/01/23/amazon-google-huawei-and-microsoft-sponsor-uc-berkeley-riselab-amplabs-successor/ 0 comments
- The Modin view of Scaling Pandas. Comparing Modin with Dask, Ray, Vaex… | by Devin Petersohn | Towards Data Science https://towardsdatascience.com/the-modin-view-of-scaling-pandas-825215533122 0 comments
- The Rise of the Model Servers. New Tools for Deploying Machine… | by Alex Vikati | Medium https://medium.com/@vikati/the-rise-of-the-model-servers-9395522b6c58 0 comments
- Investigating alternative cloud backends for PyWren - pywren http://pywren.io/pywren_backends.html 0 comments
- Cutting edge hyperparameter tuning with Ray Tune | by Richard Liaw | riselab | Medium https://medium.com/riselab/cutting-edge-hyperparameter-tuning-with-ray-tune-be6c0447afdf 0 comments
- RayOnSpark: Running Emerging AI Applications on Big Data Clusters with Ray and Analytics Zoo | by Jason Dai | riselab | Medium https://medium.com/riselab/rayonspark-running-emerging-ai-applications-on-big-data-clusters-with-ray-and-analytics-zoo-923e0136ed6a 0 comments
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