Run frontier AI locally.
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Apache Spark - A unified analytics engine for large-scale data processing
- python
- scala
- r
- java
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
Apache Hadoop
Parallel computing with task scheduling
- dask
- python
- pydata
- numpy
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- bloom
- deep-learning
- distributed-systems
- language-models
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
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.
- python
- java
- big-data
- beam
Enterprise job scheduling middleware with distributed computing ability.
- scheduler
- workflow
- distributed
- mapreduce
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
- java
- hazelcast
- in-memory
- big-data
Data-Centric Pipelines and Data Versioning
A unified ecosystem and workspace for large-scale federated learning, bridging the gap between centralized model evolution and decentralized edge intelligence.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Apache Ignite
- distributed-sql-database
- iot
- osgi
- network-client
A lightweight data processing framework built on DuckDB and 3FS.
- data-processing
- duckdb
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
- distributed-computing
- map-reduce
- golang
- distributed-systems
Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc. I am also working on another similar pure Go system, https://github.com/chrislusf/gleam , which is more flexible and more performant.
Run MapReduce jobs on Hadoop or Amazon Web Services
A cluster computing framework for processing large-scale geospatial data
- cluster-computing
- spatial-sql
- geospatial
- spatial-analysis
Apache DataFusion Ballista Distributed Query Engine
- arrow
- big-data
- dataframe
- olap
Python Stream Processing
- python
- stream-processing
- rust
- data-engineering
A distributed task scheduler for Dask
- pydata
- dask
- distributed-computing
- python