Lyceum
Inference
  • Serverless inference
  • Dedicated endpoints
  • Model library
  • Inference pricing
  • API documentation
Compute
  • GPU virtual machines
  • Serverless training
  • Dedicated GPU clusters
  • Compute pricing
Pricing Docs
Company
  • About
  • Team
  • Careers
  • Trust centre
  • Magazine
Log in Start building Welcome back, Open dashboard
Inference
  • Serverless inference
  • Dedicated endpoints
  • Model library
  • Inference pricing
  • API documentation
Compute
  • GPU virtual machines
  • Serverless training
  • Dedicated GPU clusters
  • Compute pricing
Pricing Docs
Company
  • About
  • Team
  • Careers
  • Trust centre
  • Magazine
Start building Log in Open dashboard
  1. Home
  2. › Magazine
  3. › Inference
  4. › Applied Workloads
  5. › Retrieval

subcluster

Retrieval

2 articles

Articles

June 7, 2026

GPU Vector Database Cloud Integration: Architecture Guide

Vector databases are hitting the billion-vector scale, and CPU-bound indexing is choking under the load. Moving vector search to GPUs cuts index build times by up to 17x, but deploying this infrastructure requires strict attention to data sovereignty and cost control.

June 5, 2026

RAG Pipeline GPU Infrastructure: The Engineering Guide

You built a RAG pipeline. It retrieves 20 chunks, sends 32,000 tokens to the LLM, and your GPU throws an Out of Memory (OOM) error. Memory management in RAG is not a software problem. It is a hardware budget.

Other subclusters

Speech 1 Agents 4
← All articles
European AI infrastructure.
Berlin and Zurich.
Live status
  • Docs
  • Models
  • Pricing
  • Trust
  • Careers
  • Contact

© 2026 Lyceum Technology Germany GmbH

  • Privacy
  • Terms
  • Imprint

Get started with GPU compute in minutes

Book a Demo

Cookies

We use cookies to measure traffic. Rejecting keeps everything working. Learn more