• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: batch size

How to Choose Batch Sizes to Minimize Cost per Token in LLM Serving
How to Choose Batch Sizes to Minimize Cost per Token in LLM Serving

Tamara Weed, Nov, 24 2025

Learn how to choose batch sizes for LLM serving to cut cost per token by up to 87%. Real-world examples, optimal batch sizes, GPU limits, and proven cost-saving techniques.

Categories:

Science & Research

Tags:

batch size LLM serving cost per token GPU utilization LLM optimization

Recent post

  • Anti-Pattern Prompts: What Not to Ask LLMs in Vibe Coding
  • Anti-Pattern Prompts: What Not to Ask LLMs in Vibe Coding
  • ROI Modeling for Vibe Coding: How AI-Powered Development Cuts Costs, Speeds Up Delivery, and Boosts Quality
  • ROI Modeling for Vibe Coding: How AI-Powered Development Cuts Costs, Speeds Up Delivery, and Boosts Quality
  • Multi-Agent Systems with LLMs: How Specialized AI Agents Collaborate to Solve Complex Problems
  • Multi-Agent Systems with LLMs: How Specialized AI Agents Collaborate to Solve Complex Problems
  • HR Automation with Generative AI: Streamline Job Descriptions, Interviews, and Onboarding
  • HR Automation with Generative AI: Streamline Job Descriptions, Interviews, and Onboarding
  • Multi-GPU Inference Strategies for Large Language Models: Tensor Parallelism 101
  • Multi-GPU Inference Strategies for Large Language Models: Tensor Parallelism 101

Categories

  • Science & Research

Archives

  • December 2025
  • November 2025
  • October 2025
  • September 2025
  • August 2025
  • July 2025

Tags

vibe coding generative AI AI coding tools LLM security prompt engineering AI coding AI compliance large language models transformer models AI implementation AI governance Parapsychological Association psi research paranormal studies psychic phenomena parapsychology no-code apps knowledge worker productivity AI app builder anti-pattern prompts

© 2025. All rights reserved.