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 (64)
  • AI Engineering (19)
  • Security (11)
  • Biography (7)
  • Strategy & Governance (3)

Latest Courses

  • post-image

    UI Patterns for Trustworthy Generative AI: Show Sources and Last Updated Dates

  • post-image

    How to Optimize Cloud Costs for Generative AI: Scheduling, Autoscaling, and Spot Instances

  • post-image

    Security Telemetry for LLMs: How to Log Prompts, Outputs, and Tool Usage

  • post-image

    AdamW vs Adafactor vs Lion: Choosing the Best LLM Optimizer

  • post-image

    Request Prioritization and SLAs for Enterprise LLM Endpoints

Popular Tags

  • vibe coding
  • large language models
  • prompt engineering
  • generative AI
  • attention mechanism
  • multimodal AI
  • LLMs
  • rapid prototyping
  • vLLM
  • AI coding
  • vendor lock-in
  • RAG
  • LLM fine-tuning
  • retrieval-augmented generation
  • model pruning
  • LLM deployment
  • LLM compression
  • model efficiency
  • GPT-4o
  • domain adaptation
BRICS AI Economics

© 2026. All rights reserved.