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Making large AI models cheaper, faster and more accessible
Automate code & data workflows with interactive Elixir notebooks
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Accelerated deep learning R&D
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Microsoft Graph Engine
MooseFS Distributed Storage – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System / Software-Defined Storage
A distributed task scheduler for Dask
Distributed Deep learning with Keras & Spark
PySpark + Scikit-learn = Sparkit-learn
Distributed Stockfish analysis for lichess.org