TTFB (Time to First Byte)

PerformanceIntermediate

Definition

Latency from request start until the first byte is received. Impacted by network, cold starts, and model prefill.

Why "TTFB (Time to First Byte)" Matters in AI

Understanding ttfb (time to first byte) is essential for anyone working with artificial intelligence tools and technologies. This performance-related concept helps practitioners optimize AI systems for speed, accuracy, and efficiency. Whether you're a developer, business leader, or AI enthusiast, grasping this concept will help you make better decisions when selecting and using AI tools.

Learn More About AI

Deepen your understanding of ttfb (time to first byte) and related AI concepts:

Related terms

Latency (AI Systems)Prefill vs DecodeStreaming (Token Streaming)

Frequently Asked Questions

What is TTFB (Time to First Byte)?

Latency from request start until the first byte is received. Impacted by network, cold starts, and model prefill....

Why is TTFB (Time to First Byte) important in AI?

TTFB (Time to First Byte) is a intermediate concept in the performance domain. Understanding it helps practitioners and users work more effectively with AI systems, make informed tool choices, and stay current with industry developments.

How can I learn more about TTFB (Time to First Byte)?

Start with our AI Fundamentals course, explore related terms in our glossary, and stay updated with the latest developments in our AI News section.