• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: tensor parallelism

Multi-GPU Inference Strategies for Large Language Models: Tensor Parallelism 101
Multi-GPU Inference Strategies for Large Language Models: Tensor Parallelism 101

Tamara Weed, Dec, 17 2025

Tensor parallelism is the key technique for running large language models across multiple GPUs. Learn how it splits model layers to fit bigger models on smaller hardware, its real-world performance, and how to use it with modern frameworks.

Categories:

Science & Research

Tags:

tensor parallelism multi-GPU inference LLM deployment model parallelism GPU optimization

Recent post

  • Encoder-Decoder vs Decoder-Only Transformers: Which Architecture Powers Today’s Large Language Models?
  • Encoder-Decoder vs Decoder-Only Transformers: Which Architecture Powers Today’s Large Language Models?
  • Vibe Coding for Knowledge Workers: Tools That Save Hours Every Week
  • Vibe Coding for Knowledge Workers: Tools That Save Hours Every Week
  • Hardware-Friendly LLM Compression: How to Optimize Large Models for GPUs and CPUs
  • Hardware-Friendly LLM Compression: How to Optimize Large Models for GPUs and CPUs
  • Data Privacy in LLM Training Pipelines: How to Redact PII and Enforce Governance
  • Data Privacy in LLM Training Pipelines: How to Redact PII and Enforce Governance
  • 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

Categories

  • Science & Research

Archives

  • February 2026
  • January 2026
  • December 2025
  • November 2025
  • October 2025
  • September 2025
  • August 2025
  • July 2025

Tags

vibe coding large language models generative AI AI coding tools LLM security AI governance prompt engineering AI coding AI compliance transformer models AI agents AI code security AI implementation GitHub Copilot data privacy AI development LLM architecture GPU optimization AI in healthcare Parapsychological Association

© 2026. All rights reserved.