Distributed Computing
13 items across the graph — tagged with Distributed Computing.
From the graph · 13
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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.
Ultrafast serverless GPU inference, sandboxes, and background jobs
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Self-hosted AI agent OS. Your memory, chat, agents, and files stay on hardware you own, offline by default, cloud by choice. Offline AI memory (taOSmd), self-ho…
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
A simplified library for decentralized, privacy preserving machine learning
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
Another curated list of Python frameworks
Distributed LLM inference fabric for heterogeneous local clusters. Features zero-copy SPSC ring buffers, automated tuning, and an OpenAI-compatible API.