---
title: "Apple and Meta enable 816-billion-parameter AI model on Mac Studio desktops"
slug: "apple-and-meta-enable-816-billion-parameter-ai-model-on-mac-studio-des"
date: "2026-10-25"
category: "FinTech"
author: "Tariq Al-Mansoor"
correspondent: "Tariq Al-Mansoor"
correspondentRole: "Gulf & Capital Correspondent"
readingTimeMinutes: 1
tags: ["Fintech","News"]
originalSourceUrl: "https://www.pymnts.com/news/artificial-intelligence/2026/apple-meta-team-up-to-put-big-ai-on-desktops/"
canonicalUrl: "https://aurav.ae/apple-and-meta-enable-816-billion-parameter-ai-model-on-mac-studio-des"
publisher: "Aura-V Intelligence (aurav.ae)"
---

# Apple and Meta enable 816-billion-parameter AI model on Mac Studio desktops

> Apple and Meta have tuned the Muse Spark Open model to run on paired Mac Studio machines, offering on-premise AI for businesses.

## Key Takeaways (TL;DR)

- Meta’s 816-billion-parameter Muse Spark Open can run on two wired-together Mac Studio desktops.
- The setup lets companies process prompts locally, avoiding token-based cloud fees and keeping data in-house.
- Enterprises such as PNC, Siemens and fintech firms are evaluating the approach to cut AI operating costs.

Meta released Muse Spark Open, an 816-billion-parameter model it calls the most capable U.S. open-weight model, and announced a joint effort with Apple to tune it for two Mac Studio desktops.

Apple demonstrated that two Mac Studios wired together can host Muse Spark Open at a usable speed, with four machines processing faster than a typical reading pace. The collaboration gives Meta a hardware showcase outside its data centers and offers Apple a privacy-focused AI story, as the model runs locally and never touches user data.

Businesses facing high AI cloud bills—including legal AI firm Harvey, healthcare startup Abridge, fintech Ramp and AT&T—are looking at on-premise models to reduce costs. PNC Financial Services, CH Robinson, Siemens and Tinder are also considering open-weight models to avoid rising cloud expenses, according to PYMNTS. Running large models on Mac Studio promises “no token counting” and keeps customer data within the organization.

---

*Original Think-Tank Source: [Apple, Meta Team Up to Put Big AI on Desktops](https://www.pymnts.com/news/artificial-intelligence/2026/apple-meta-team-up-to-put-big-ai-on-desktops/)*
