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hivemind
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
The problem is that, currently, large ML models need to be trained on clusters of tightly-connected GPUs/accelerators. So it's kinda useless having a bunch of GPUs spread all over the world with huge latency and low bandwidth between them. That may change though - there are people working on it: https://github.com/learning-at-home/hivemind
I’m surprised that no one has answered for three hours!
The answer is at https://github.com/kingoflolz/mesh-transformer-jax
It has detailed comparisons and a full breakdown of the performance, courtesy of Eleuther.