VectorLayVectorLay
DocsBlogAbout
Sign InGet Started
Back to docs

Tutorials

Step-by-step guides for common use cases and deployment patterns.

Getting Started

Deploy Your First Model

A complete walkthrough of deploying an LLM on VectorLay, from account setup to sending your first inference request.

LLM Inference

Run vLLM with Llama 3

Deploy Meta's Llama 3 model using vLLM's OpenAI-compatible API on RTX 4090 GPUs.

Image Generation

Stable Diffusion at Scale

Run Stable Diffusion XL across multiple GPUs with load balancing and automatic failover.

CI/CD

Self-Hosted GitHub Runners

Set up GPU-accelerated GitHub Actions runners on VectorLay for ML CI/CD pipelines.

Production

LLM Inference at Scale

Best practices for running large language model inference in production with high availability.

Architecture

Container Deployment Architecture

Deep dive into how VectorLay deploys and manages containers across distributed GPU nodes.

Cost Optimization

GPU Cloud Pricing Comparison

Compare costs across GPU cloud providers and find the most cost-effective option for your workload.

Cost Optimization

Reducing Inference Costs

Practical strategies for reducing GPU inference costs without sacrificing performance.

VectorLay

Deploy production-ready GPU inference clusters that scale with your growth.

Product

  • GPU Clusters
  • Environments
  • Use Cases
  • Pricing
  • Comparisons
  • Alternatives

GPU Cloud

  • Rent GPUs
  • GPU Pricing Calculator
  • GPU Specs
  • vs RunPod
  • vs Vast.ai
  • RunPod Alternative

Resources

  • Documentation
  • API Reference
  • Blog
  • Status
  • Changelog

Company

  • About
  • Careers
  • Contact
  • Privacy
  • Terms
  • Security

© 2026 VectorLay. All rights reserved.

All systems operational