BRICS AI Economics

Tag: LLM deployment

post-image
Jan, 26 2026

Infrastructure Requirements for Serving Large Language Models in Production

Emily Fies
7
Serving large language models in production requires specialized hardware, smart scaling, and cost-aware architecture. Learn the real GPU, storage, and network needs-and how to avoid common pitfalls.
post-image
Jan, 4 2026

Data Residency Considerations for Global LLM Deployments

Emily Fies
5
Global LLM deployments must comply with data residency laws like GDPR and PIPL. Learn how hybrid architectures, SLMs, and regional infrastructure help avoid fines and keep user data local.

Categories

  • Business (42)
  • Biography (7)
  • Security (2)

Latest Courses

  • post-image

    Secure Authentication Patterns for Vibe-Coded Backends: Avoid Common AI Security Pitfalls

  • post-image

    How Curriculum and Data Mixtures Speed Up Large Language Model Scaling

  • post-image

    How Design Teams Use Generative AI for Wireframes, Creative Variations, and Asset Generation

  • post-image

    Version Control with AI: Managing AI-Generated Commits and Diffs

  • post-image

    Open-Source LLM Licensing: What You Must Know to Avoid Legal Risks

Popular Tags

  • large language models
  • generative AI
  • attention mechanism
  • vibe coding
  • AI coding
  • prompt engineering
  • LLM deployment
  • multimodal AI
  • self-attention
  • Leonid Grigoryev
  • Soviet physicist
  • quantum optics
  • laser physics
  • academic legacy
  • LLM interoperability
  • LiteLLM
  • LangChain
  • Model Context Protocol
  • vendor lock-in
  • open-source LLM inference
BRICS AI Economics

© 2026. All rights reserved.