Pinecone Launches Serverless Vector Database Architecture

The new architecture offers increased speed, scalability, and cost-efficiency, and eliminates the need for developers to manage infrastructure.

Pinecone, the vector database company, has launched Pinecone Serverless, a new serverless architecture for its database that offers increased speed, scalability, and cost-efficiency.
Pinecone Serverless separates reads, writes, and storage, which can significantly reduce costs for users, and supports vector clustering on top of blob storage, resulting in lower latencies and the ability to support massive data sizes.
The serverless architecture eliminates the need for developers to manage infrastructure, allowing them to build GenAI applications more easily and bring them to market faster.
Pinecone Serverless offers a multi-tenant compute layer and is designed to be used with various AI and backend services, including Anthropic, Anyscale, Cohere, Confluent, Langchain, Pulumi, and Vercel.
Pinecone Serverless is initially available in AWS' US-West-2 region, with support for additional regions and cloud platforms in the pipeline.