Recall & Review
beginner
What does 'scaling agents horizontally' mean in AI systems?
It means adding more independent agents to work together, rather than making one agent more powerful. This helps handle more tasks or users at the same time.
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beginner
Why is horizontal scaling useful for agentic AI?
Because it allows the system to handle more work by using many agents in parallel, improving speed and reliability without overloading a single agent.
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intermediate
Name one challenge when scaling agents horizontally.
Coordinating communication between many agents can be difficult, as they need to share information and avoid conflicts.
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intermediate
How does horizontal scaling compare to vertical scaling?
Horizontal scaling adds more agents to share the work, while vertical scaling makes one agent stronger by adding resources like CPU or memory.
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beginner
Give a real-life example of horizontal scaling.
Like having many cashiers open at a store instead of one cashier working faster. More cashiers help serve more customers at once.
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What is the main goal of scaling agents horizontally?
Which is a common challenge when scaling agents horizontally?
Horizontal scaling is like:
Which is NOT a benefit of horizontal scaling?
Vertical scaling means:
Explain in your own words what scaling agents horizontally means and why it is useful.
Describe one challenge you might face when scaling agents horizontally and how it affects the system.