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Course contents

  • Getting Started with AI for VLSI Engineers5
  • Just Enough AI: Models and Context15
  • Prompting13
  • Trust and Verification14
  • Using AI for Engineering Work17
  • Engineering Walkthroughs7
  • Practical Foundations for AI Workflows4
  • Engineering Data5
  • Retrieval-Augmented Generation6
  • Agents and Tool Use18
  • Agent Design8
  • MCP and Skills6
  • Multi-Agent Design6
  • Practical Capstone6
  • Tokens, Cost and Latency12
    • Cost Arithmetic
    • Latency and Throughput
    • Reducing Tokens
  • Agentic Workflows for Chip Teams18
  • Interview and Judgment10
  • AI Skills: Full Course Index
  • Working with AI Glossary
  • Working with AI Cheatsheet
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‹AI Skills for VLSI Engineers
  1. Topics
  2. AI Skills for VLSI Engineers
  3. Tokens, Cost and Latency

Reference: Tokens, Cost and Latency · Beginner to Intermediate

Tokens, Cost and Latency

How token counts set cost and delay, and how reuse and trimming lower both.

  • 3topics
  • 12lessons

Token counts set the cost and delay of each call. This part covers cost arithmetic, latency models, and ways to cut tokens while keeping answers.

Learning path through the tokens, cost and latency topics.
Suggested order. Cost first, then latency, then token reduction.

The three topics

Topic

Lessons

Description

Time

Cost Arithmetic

4

Cost arithmetic for AI calls with EXAMPLE prices: formula, two jobs, monthly totals, sensitivity.

30 min

Latency and Throughput

4

Time to first token, decode speed, and a simple latency model with examples.

30 min

Reducing Tokens

4

Reuse, summaries, retrieval and trimmed context that cut token cost without losing answers.

30 min

Tip

Estimate tokens on a small sample before a large run: short prompts and trimmed logs catch runaway context early.

Check yourself How is the cost of one call estimated?

Input tokens times the input rate plus output tokens times the output rate. The Cost Arithmetic topic works through the formula and two jobs.

Interview

Typical screening questions from this part: the cost formula, time to first token versus decode speed, and caching and trimming trade-offs.

Related topics

  • Up: Working with AI course hub

  • Previous: Troubleshooting and final project

  • Next reference: Agentic Workflows for Chip Teams

PreviousNext: Cost Arithmetic

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See also

  • Getting Started with AI for VLSI Engineers
  • Just Enough AI: Models and Context
  • Prompting