🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
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🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more
Apache Beam is a unified programming model for Batch and Streaming data processing.
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
Open-source software for volunteer computing and grid computing.
YTsaurus is a scalable and fault-tolerant open-source big data platform.
Apache DataFusion Ballista Distributed Query Engine
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
Python 3.8+ toolbox for submitting jobs to Slurm
Distributed Stream Processing
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Distributed batch data processing framework
Tuple MapReduce for Hadoop: Hadoop API made easy
Web application for distributed compute analysis of Archive-It web archive collections.
The core libraries of the teknek stream processing platform