AI Explained
01 What is Local AI? 02 What is an LLM? 03 Diffusion Models 04 Parameters 05 Quantization 06 Tokens & Context 07 VRAM & Model Size
08 Local Image Generation 09 Local Video Generation 10 LLMs for Everyday Use 11 Multimodal Models
12 The Tools Landscape 13 GeForce RTX for AI 14 DGX Spark & N1X 15 Cloud vs. Local
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Foundations
01 — What is Local AI? 02 — What is an LLM? 03 — Diffusion Models 04 — Parameters 05 — Quantization 06 — Tokens & Context 07 — VRAM & Model Size
Use Cases
08 — Image Generation 09 — Video Generation 10 — LLMs for Everyday Use 11 — Multimodal Models
Hardware & Tools
12 — Tools Landscape 13 — GeForce RTX for AI 14 — DGX Spark & N1X 15 — Cloud vs. Local
Tools
VRAM Calculator Glossary
Section 03 — 4 topics

Hardware & Tools

The ecosystem that runs Local AI — software stack, GeForce RTX GPUs framed for AI workloads, DGX Spark & N1X for the bigger models, and a clear-eyed look at when cloud still makes sense.

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The Tools Landscape

Ollama, ComfyUI, vLLM, TensorRT-LLM — a map of the ecosystem.

13

GeForce RTX for AI

From RTX 4060 to the 5090 — which card runs what, framed for AI workloads.

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DGX Spark & N1X

128 GB unified memory in a desktop. Why it matters for models too big for any single GPU.

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Cloud vs. Local

When running locally wins on privacy, cost, and latency — and when cloud still makes sense.

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Educational overview. Specs and model availability change frequently. Not an official product guide.