Governed data. GPU-accelerated AI.
Joint architecture
Governed data to AI inference. One pipeline.
Starburst provides the governed data layer. NVIDIA provides the compute. Together: a complete, enterprise-grade AI data pipeline, without exposing raw data to models.
Your data: any source
Amazon S3, Snowflake, Postgres, Kafka, on-premises, cloud: federated via Starburst, no copying required.
Enterprise Context Layer
Governed data products: versioned, AI-ready metadata, built for consumption by models and agents.
Starburst Agentic Control Plane
Policy enforcement, RBAC/masking, audit log, and rate limits: applied before any data reaches a model.
NVIDIA NIM microservices
GPU-accelerated inference: LLM, embedding, and RAG models consuming governed context via MCP / REST.
What you get
Enterprise AI. Built for production, not just the lab.
NIM-ready data products
Starburst data products expose a governed MCP interface that NVIDIA NIM microservices query directly: structured, policy-enforced context without access to raw tables or PII.
AI governance before the GPU
Every inference request that requires data goes through Starburst's Agentic Control Plane: RBAC, column masking, and row-level filters applied before data reaches any model.
Accelerated RAG pipelines
Build retrieval-augmented generation pipelines where the retrieval layer is Starburst, offering governed, fresh, federated data products. Generation is NVIDIA-accelerated LLMs on NIM.
AIDA on NVIDIA infrastructure
Run AIDA on NVIDIA DGX or GPU-accelerated cloud: the same governed natural-language data assistant, with the inference speed that enterprise workloads demand.
See what changes when intelligence reaches all your data.
Start free in minutes, or talk with a Starburst expert.