---
type: Glossary Term
title: Mixture-of-Experts (MoE)
description: "A neural network architecture that uses multiple 'expert' sub-networks. During inference, only a selected subset of these experts is activated, enabling a large"
resource: "https://www.contextstudios.ai/glossary/mixture-of-experts"
category: tech
language: en
timestamp: "2026-07-01T15:04:02.018Z"
---

# Mixture-of-Experts (MoE)

A neural network architecture that uses multiple 'expert' sub-networks. During inference, only a selected subset of these experts is activated, enabling a large model capacity with reduced computational cost.

## Business Value

Leverages mixture-of-experts (moe) technology to deliver 2-5x performance improvements in AI application throughput and accuracy.

## Context Studios Perspective

We leverage mixture-of-experts (moe) in production systems, not just demos. Our implementations are battle-tested across multiple enterprise deployments.
