Tag: LLM inference

Learn how to choose between NVIDIA A100, H100, and CPU offloading for LLM inference in 2025. See real performance numbers, cost trade-offs, and which option actually works for production.

KV caching and continuous batching are essential for fast, affordable LLM serving. Learn how they reduce memory use, boost throughput, and enable real-world deployment on consumer hardware.

Recent-posts

Fintech Experiments with Vibe Coding: Mock Data, Compliance, and Guardrails

Fintech Experiments with Vibe Coding: Mock Data, Compliance, and Guardrails

Jan, 23 2026

Marketing Content at Scale with Generative AI: Product Descriptions, Emails, and Social Posts

Marketing Content at Scale with Generative AI: Product Descriptions, Emails, and Social Posts

Jun, 29 2025

GPU Selection for LLM Inference: A100 vs H100 vs CPU Offloading

GPU Selection for LLM Inference: A100 vs H100 vs CPU Offloading

Dec, 29 2025

Why Tokenization Still Matters in the Age of Large Language Models

Why Tokenization Still Matters in the Age of Large Language Models

Sep, 21 2025

The Future of Generative AI: Agentic Systems, Lower Costs, and Better Grounding

The Future of Generative AI: Agentic Systems, Lower Costs, and Better Grounding

Jul, 23 2025