Understanding Pinecone Pricing and Pods
Learn how Pinecone organizes capacity through pods and serverless, what drives cost, and how to size an index for performance and budget.
Capacity in Pinecone
An index needs compute and memory to hold vectors and serve queries. Pinecone offers two capacity models: pod-based and serverless. Understanding them helps you control cost and performance.
What Is a Pod?
A pod is a unit of pre-allocated capacity that stores and serves your vectors. You pick a pod type and how many pods (replicas and shards). You pay for pods while they run, regardless of traffic.
All lessons in this course
- Pinecone Index Creation
- Upserting Data to Pinecone
- Querying Vector Data in Pinecone
- Understanding Pinecone Pricing and Pods