What Is a Local LLM? How It Differs from Cloud AI and Who It Is For
What is a local LLM? See how local, offline and on-device models differ, how they compare with cloud AI on privacy, cost and capability, and who it suits.
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Best GPU for Local LLMs: A VRAM Tier Table (2026)
Find the best GPU for local LLM use: VRAM tiers from 8GB to 32GB, matching models, bandwidth, power draw and dated price ranges, plus buying pitfalls.
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How Much VRAM Does an LLM Need? Parameters, Quantization and Context
How much VRAM does an LLM need? Use weights + KV cache + overhead to estimate from parameters, quantization and context, with quick tables for 8GB to 48GB.
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How to Run LLMs on a Mac: How Much Unified Memory Do You Need?
How to run LLMs on a Mac: what 16GB to 128GB of unified memory can hold, usable GPU share, bandwidth by chip, and Mac vs GPU advice.
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Local LLM PC Build: Four Tiers From 12GB to 32GB VRAM
Planning a local LLM PC build? Four VRAM tiers from 12GB to 32GB, with CPU, RAM, PSU and storage advice, a GPU price snapshot and a build checklist.
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Running an LLM on 24GB VRAM: What Can an RTX 3090 / 4090 Run?
Which LLMs fit on 24GB VRAM? 27B–32B dense and 30B MoE models with memory estimates, long-context headroom, 3090 vs 4090, and why 70B doesn’t fit.
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Run an LLM on 8GB VRAM: What Can an 8GB GPU Run? Model Picks
Run an LLM on 8GB VRAM: Ollama picks for chat, reasoning, coding and vision with file sizes, context settings, 8GB card comparison and upgrade advice.
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Best Local LLM in 2026: Pick by VRAM and Task, Not by Leaderboard
Best local LLM for your hardware: picks by 8GB, 12GB, 24GB and 32GB VRAM and by task, covering Qwen, Gemma and gpt-oss, with file sizes and VRAM estimates.