---
title: "sheephess9527 (@sheephess9527) | Hashnode"
description: "sheephess9527 (@sheephess9527) writes on Hashnode. Read their latest articles and follow their work."
url: "https://hashnode.com/@sheephess9527"
---

@sheephess9527

# sheephess9527

@sheephess9527 · Joined November 2026

### [Where does a 70B model actually fit? Dual RTX 3090 vs DGX Spark 64GB vs 128GB](https://sheephess9527.hashnode.dev/where-does-a-70b-model-actually-fit-dual-rtx-3090-vs-dgx-spark-64gb-vs-128gb?utm_source=hashnode&utm_medium=feed)

70B dense models are the point where a single consumer GPU stops being enough. Here is what the memory math says for the three setups people usually compare. The baseline: Llama 3.3 70B at Q4\_K\_M Abou

3 min read · [sheephess9527.hashnode.dev](https://sheephess9527.hashnode.dev/where-does-a-70b-model-actually-fit-dual-rtx-3090-vs-dgx-spark-64gb-vs-128gb?utm_source=hashnode&utm_medium=feed)

[1d ago](https://hashnode.com/posts/where-does-a-70b-model-actually-fit-dual-rtx-3090-vs-dgx-spark-64gb-vs-128gb/6af28648870d07ceeb681e1f)

### [How much VRAM do you actually need for local LLMs in 2026? (Qwen3.8 27B, 24GB vs 32GB cards)](https://sheephess9527.hashnode.dev/how-much-vram-do-you-actually-need-for-local-llms-in-2026-qwen3-8-27b-24gb-vs-32gb-cards?utm_source=hashnode&utm_medium=feed)

Every time a new open model drops, the same question comes back: will it fit on my GPU? Here is how to think about it, with concrete numbers. 1. Memory = weights + KV cache + a little buffer The GGUF

3 min read · [sheephess9527.hashnode.dev](https://sheephess9527.hashnode.dev/how-much-vram-do-you-actually-need-for-local-llms-in-2026-qwen3-8-27b-24gb-vs-32gb-cards?utm_source=hashnode&utm_medium=feed)

[Nov 4](https://hashnode.com/posts/how-much-vram-do-you-actually-need-for-local-llms-in-2026-qwen3-8-27b-24gb-vs-32gb-cards/6aeb28ca23b5d2452662d39c)