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Deploying RAG Pipelines for Production at Scale (instructor-led)

Deploying RAG Pipelines for Production at Scale is an instructor-led NVIDIA workshop on building production-ready retrieval-augmented generation pipelines with NVIDIA NIM microservices and Kubernetes.

Open at NVIDIA ↗Common questions

Who it suits

  • Engineers whose RAG proofs of concept falter when scaled.
  • Teams deploying and monitoring NIM microservices.

What it covers

  • Building a simple RAG pipeline with the NVIDIA API catalog and Docker Compose.
  • Deploying LLM, embedding and reranking NIMs in Kubernetes with the NIM Operator.
  • Managing deployment, monitoring and scalability.
  • NVIDIA’s blueprint for PDF ingestion and best practices for high traffic.

Common questions about Deploying RAG Pipelines for Production at Scale (instructor-led)

What gap does it address?
NVIDIA says most tutorials stop at proof of concept and falter when scaling.
How is it taught?
As an instructor-led workshop; NVIDIA says to work with the instructor on timing for your session.
What does it cost?
NVIDIA lists instructor-led workshops as contact-us for pricing and dates, so check its page; they change.

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Where this comes from

Written from NVIDIA’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with NVIDIA and this is not an endorsement.