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Scale requirements

We're continuously increasing our scale constraints to support larger traffic loads.

Our published limits are intentionally conservative — in practice, we routinely support 2k+ QPS, up to ~1B items, and billions of events. If you have higher requirements, please reach out.

How we ingest and process your data at scale​

Shaped has a real-time, durable feature-store that ingests, and transforms your data for training and serving.

Data Ingestion Architecture

How we train and encode data continuously​

Shaped continuously encodes your data with fresh multi-modal embeddings and trains your retrieval and ranking models with best in class MLOps.

Training Pipeline Architecture

How we serve query results fast​

Shaped has a serverless real-time serving system that scales with your requests based on latency, request volume and pod memory.

Inference Architecture

Scale limits​

Shaped’s cloud API supports the following scale limits for each tenant:

Dimension
Limit
Unique users50 million
Unique items1 billion
Unique events1+ billion
Personal filters50 million
Requests per second2,000+
Train frequency2 hours
Event and filter ingestion< 30 seconds
User and item catalog ingestion10 minute

Please get in touch if you have specific performance or scale constraints that you want us to meet: Schedule a call