---
title: "RTX 3090 Beats 64GB Mac Studio with 140 TPS Local AI Speed"
slug: "rtx-3090-schlaegt-mac-studio-mit-64-gb-140-tps-fuer-lokale-ai"
date: 2026-09-29
category: tech-pub
tags: []
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/rtx-3090-schlaegt-mac-studio-mit-64-gb-140-tps-fuer-lokale-ai
---

# RTX 3090 Beats 64GB Mac Studio with 140 TPS Local AI Speed

**Published**: 2026-09-29 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

Running local AI models such as Qwen 3.6, a 35-billion-parameter system, means balancing performance, memory capacity and cost.

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## Summary

Running local AI models such as Qwen 3.6, a 35-billion-parameter system, means balancing performance, memory capacity and cost. The Stack compares a custom-built PC with an RTX 3090 GPU against a 64GB Mac Studio with the M5 Max chip. The PC reaches around 140 tokens per second and leads on speed, while the Mac keeps advantages in memory and power draw.

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## Why it matters

Running local AI models such as Qwen 3.6, a 35-billion-parameter system, means balancing performance, memory capacity and cost.

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## Key Points

- Running local AI models such as Qwen 3.6, a 35-billion-parameter system, means balancing performance, memory capacity and cost.
- The Stack compares a custom-built PC with an RTX 3090 GPU against a 64GB Mac Studio with the M5 Max chip.
- The PC reaches around 140 tokens per second and leads on speed, while the Mac keeps advantages in memory and power draw.

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## Nauti's Take

A used RTX 3090 delivers surprisingly strong local AI speed and is a cheap entry point for tinkerers. The catch is limited VRAM, high power draw and noise, so larger models still hit memory limits. Those who want raw speed should lean toward the PC, while those who value quiet and large context windows should look closer at the Mac.

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## FAQ

**Q:** What is RTX 3090 Beats 64GB Mac Studio with 140 TPS Local AI Speed about?

**A:** Running local AI models such as Qwen 3.6, a 35-billion-parameter system, means balancing performance, memory capacity and cost.

**Q:** Why does it matter?

**A:** Running local AI models such as Qwen 3.6, a 35-billion-parameter system, means balancing performance, memory capacity and cost.

**Q:** What are the key takeaways?

**A:** Running local AI models such as Qwen 3.6, a 35-billion-parameter system, means balancing performance, memory capacity and cost.. The Stack compares a custom-built PC with an RTX 3090 GPU against a 64GB Mac Studio with the M5 Max chip.. The PC reaches around 140 tokens per second and leads on speed, while the Mac keeps advantages in memory and power draw.

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## Related Topics

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## Sources

- [RTX 3090 Beats 64GB Mac Studio with 140 TPS Local AI Speed](https://www.geeky-gadgets.com/custom-pc-vs-64gb-mac-local-ai/) - Geeky Gadgets AI

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-09-29*