Tag: multi-GPU inference

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.

Recent-posts

Multimodal Evolution in Generative AI: 3D, Haptics, and Sensor Fusion

Multimodal Evolution in Generative AI: 3D, Haptics, and Sensor Fusion

Sep, 28 2026

Evaluating Factuality During LLM Generation: Online Verification Strategies

Evaluating Factuality During LLM Generation: Online Verification Strategies

Oct, 4 2026

Why Transformers Replaced RNNs: Parallelization and Long-Range Dependencies in LLMs

Why Transformers Replaced RNNs: Parallelization and Long-Range Dependencies in LLMs

May, 4 2026

Hybrid Cloud vs On-Prem: Best Strategies for LLM Serving in 2026

Hybrid Cloud vs On-Prem: Best Strategies for LLM Serving in 2026

Sep, 3 2026

Evaluation 2.0 for Generative AI: Moving Beyond Static Benchmarks to Live Tasks

Evaluation 2.0 for Generative AI: Moving Beyond Static Benchmarks to Live Tasks

Aug, 1 2026