AI Glossary
Browse our AI glossary for clear definitions of artificial intelligence, machine learning, and large language model terms, complete with use cases and examples to understand each concept in practice.
What Is Network Latency
Latency is the time delay between a user action and a system’s response. In networking and digital systems, it measures how long it takes for data to travel from a user’s device to a server and back again. Low latency means the system responds quickly, while high latency creates noticeable delays.
In simple terms, latency describes how fast or slow a system reacts when something happens.
For example, when you click a button on a website or speak to a voice assistant, the request must travel through the internet, reach a server, and return with a response using speech to text. The time taken for this round trip is latency.
Latency is usually measured in milliseconds (ms). Even small delays can affect how smooth or responsive a system feels.
In voice AI systems, latency can refer to the delay between when a user stops speaking and when the system starts responding with a Voice Agent. These systems rely on technologies such as Natural Language Processing (NLP) to understand speech before generating a reply.
For instance, when a Murf user clicks “Preview Voice” and hears the generated audio almost instantly, the platform is operating with low latency. If the system took several seconds to generate the preview each time, it would disrupt the creative workflow.
Because of this, reducing network latency is an important goal in modern digital systems.
What Are the Different Types of Latency?

Latency can occur in several parts of a system. Understanding these different types helps identify where delays happen and how they can be improved.
Internet Latency
Internet latency refers to the delay that occurs when data travels across the internet between devices. When a user sends a request, the data travels through multiple routers, cables, and servers before reaching its destination. Each step adds a small amount of delay. Distance plays a major role in internet latency. For example, a request sent to a nearby server may return in a few milliseconds. But a request sent to a server on another continent may take much longer. Network congestion can also increase internet latency. When many devices use the same network, data may take longer to travel.
Fiber Optic Latency
Fiber optic networks transmit data using light signals through glass cables. These networks are much faster than traditional copper cables. Because light travels extremely fast, fiber optic connections usually have lower latency than other types of networks.However, latency can still occur even in fiber networks. Signals may pass through several network devices or travel long distances before reaching their destination. Despite these delays, fiber optic technology remains one of the fastest and most reliable ways to transmit data across the internet.
Disk Latency
Disk latency refers to the delay that occurs when a computer reads or writes data to storage devices. For example, when a system retrieves information from a hard drive or database, it may take a short amount of time to locate the required data. Traditional hard drives usually have higher disk latency because mechanical components must move to access data. Solid-state drives (SSDs), which use electronic memory instead of moving parts, have much lower latency.
What Are the Causes of Network Latency?
Several factors can increase latency in computer networks.
Distance Between Devices and Servers
The farther data must travel, the longer it takes to reach its destination. Requests sent across continents usually experience higher latency than requests sent within the same region.
Network Congestion
When many devices share the same network, traffic increases. Routers and servers must process more data, which can slow down transmission.
Network Hardware
Older routers, switches, or cables may not handle large amounts of data efficiently. Outdated equipment can increase delays.
Server Processing Time
Servers must process requests before sending a response. If the server is overloaded or handling complex tasks, processing time can increase latency.
Data Size
Large files or complex requests may take longer to transfer across networks, increasing the overall delay.
Why Does Latency Matter to Businesses?
Latency has a direct impact on user experience, productivity, and customer satisfaction. For businesses, this can affect several areas.
Customer Experience
Slow websites or applications may cause users to leave before completing their tasks. Faster systems keep users engaged.
Communication and Collaboration
Video calls, voice calls, and messaging platforms depend on low latency. High latency can interrupt conversations and reduce communication quality.
Real-Time Services
Industries such as online gaming, financial trading, and voice AI rely on fast responses. Even small delays can affect performance.
Productivity
Employees working with cloud-based tools need quick access to data and applications. High latency slows down workflows and reduces efficiency.
Improve Network Latency Issues: 5 Ways to Fix Latency
Organizations can take several steps to reduce latency and improve system performance.
1. Use Content Delivery Networks (CDNs)
CDNs store copies of content in multiple locations around the world. This allows users to access data from servers closer to their location, reducing latency.
2. Optimize Network Infrastructure
Upgrading routers, switches, and cables can improve network performance and reduce delays.
3. Reduce Data Size
Optimizing images, videos, and files helps reduce the amount of data transmitted across networks, improving speed.
4. Use Faster Storage Systems
Replacing traditional hard drives with solid-state drives (SSDs) can reduce disk latency and speed up data access.
5. Deploy Servers Closer to Users
Businesses often place servers in multiple geographic regions so users can connect to the nearest location. This reduces travel distance for data and lowers latency.
Latency vs. Bandwidth vs. Throughput
Latency, bandwidth, and throughput are related networking concepts, but they measure different aspects of performance.
Latency measures the time delay between sending a request and receiving a response
Bandwidth refers to the maximum amount of data that can be transmitted through a network connection at one time.
Throughput measures the actual amount of data successfully transferred over a network during a specific period.
A network can have high bandwidth but still experience high latency if data takes a long time to travel. For example, imagine a large highway. Bandwidth represents how many lanes the highway has. Throughput represents how many cars are actually traveling on it. Latency represents how long it takes a car to travel from the start to the destination.
Latency plays a crucial role in modern digital experiences. As digital services continue to grow, improving latency will remain essential for delivering fast, reliable, and responsive technology.




