Tag: LLM deployment

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

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

Tensor parallelism lets you run massive LLMs across multiple GPUs by splitting model layers. Learn how it works, why NVLink matters, which frameworks support it, and how to avoid common pitfalls in deployment.

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Content Moderation Pipelines for User-Generated Inputs to LLMs: How to Prevent Harmful Content in Real Time

Content Moderation Pipelines for User-Generated Inputs to LLMs: How to Prevent Harmful Content in Real Time

Aug, 2 2025

Few-Shot Fine-Tuning of Large Language Models: When Data Is Scarce

Few-Shot Fine-Tuning of Large Language Models: When Data Is Scarce

Feb, 9 2026

Domain-Specialized Generative AI Models: Why Vertical Expertise Beats General Purpose AI

Domain-Specialized Generative AI Models: Why Vertical Expertise Beats General Purpose AI

Mar, 9 2026

Hardware-Friendly LLM Compression: How to Fit Large Models on Consumer GPUs and CPUs

Hardware-Friendly LLM Compression: How to Fit Large Models on Consumer GPUs and CPUs

Jan, 22 2026

Calibration and Outlier Handling in Quantized LLMs: How to Keep Accuracy When Compressing Models

Calibration and Outlier Handling in Quantized LLMs: How to Keep Accuracy When Compressing Models

Jul, 6 2025

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