DeepEP
DeepEP is an open-source GPU communication library built by DeepSeek for Mixture-of-Experts (MoE) models.
AI Infrastructure
Explore AI Infrastructure through related topics and the articles other pages reference most.
Explore articles
Browse subtopics: Mixture of Experts
Articles that also belong to these categories. Counts cover all of AI Infrastructure.
All articles (281)AI Hardware (98)AI Companies (57)Data Centers (43)Developer Tools (37)Open Source AI (37)NVIDIA (35)Machine Learning (29)AI Inference (26)Google (13)AI Energy (11)Chinese AI (10)MLOps (9)Training & Optimization (9)AI Agents (8)OpenAI (8)Computer Science (7)Deep Learning (7)Enterprise AI (7)Information Retrieval (7)Large Language Models (7)AI Policy & Regulation (6)People (6)Artificial Intelligence (5)Meta AI (5)Microsoft (4)Robotics (4)AI Code Generation (3)AI Research (3)AI Tools & Products (3)Anthropic (3)Generative AI (3)Mixture of Experts (3)Venture Capital (3)AI Models (2)Model Architecture (2)Model Evaluation (2)Programming Languages (2)AI in Gaming (1)Agentic Commerce (1)Data & Datasets (1)Data Science (1)Edge computing (1)Embodied AI (1)Finance AI (1)Hardware (1)Image Generation (1)Mathematics (1)Neural Networks (1)Physical AI (1)Research Organizations (1)Software Development (1)Video Generation (1)
Showing 1-3 of 3 articles
Expert Parallelism
Expert Parallelism (EP) is a model-parallelism strategy specific to Mixture of Experts (MoE) neural networks in which the individual expert sub-networks (typically feed-forward blocks) are sharded across…
MoonEP
MoonEP is an open-source expert-parallel communication library for mixture-of-experts models, released by Moonshot AI on July 27, 2026 under the MIT License.