Pinecone announced its Dedicated Read Nodes (DRN) solution is available now in public preview—purpose built for demanding workloads.
The unique combination of DRN and on-demand services enables Pinecone to support a wide range of use cases with varying requirements in production with enterprise-grade performance, according to the company. From RAG to search to recommendation systems and more, users can now choose the service that optimizes their price-performance for each index.
DRN features include:
- Lower, more predictable cost: Hourly per-node pricing is significantly more cost-effective than per-request pricing for sustained, high-QPS workloads and makes spend easier to forecast.
- Predictable low-latency and high throughput: Dedicated, provisioned read nodes and a warm data path (memory + local SSD) deliver consistent performance under heavy load.
- Scale for your largest workloads: Built for billion-vector semantic search and high-QPS recommendation systems. Scaling is simple: add replicas to scale throughput; add shards to grow storage.
- No migrations required: Pinecone handles data movement and scaling behind the scenes.
Dedicated Read Nodes allocate exclusive infrastructure for queries, with provisioned nodes reserved for index. Data stays warm in memory and on local SSD, avoiding cold fetches from object storage and keeping latency low as it’s scaled.
From a developer’s standpoint, it’s just another Pinecone index: same APIs, same SDKs, same code. Pricing is hourly per-node for cost predictability and strong price-performance for heavy, always-on workloads, the company said.
For more information about this news, visit www.pinecone.io.