Business-ready AI
Apple silicon: Made for AI
Apple silicon chips can more efficiently handle AI inference tasks, making every Apple silicon-powered device AI-ready. Use them to build models, apps, user platforms, and more.
High-performance CPU & GPU
Apple silicon chips feature high-performance CPU cores. And the GPU is optimized for parallel processing, allowing it to better handle AI workloads.
Dedicated neural engine
Designed specifically for machine learning, the dedicated Neural Engine is extremely efficient for AI inference tasks such as image recognition and natural language processing.
Advanced acceleration
Specialized machine learning accelerators offload AI tasks from the CPU and GPU, improving overall efficiency and speed.
Unified memory
The unified memory architecture allows the CPU, GPU, and Neural Engine to share the same memory pool, allowing them all to work faster and more efficiently.
Complete optimization
Because Apple has designed both the hardware and software on a Mac, AI tools can be finely tuned to make the most of the available resources.
Scalable performance
The shared architecture ensures AI apps run consistently across the entire Apple ecosystem.
Popular AI tools work on macOS
AnythingLLM
The ultimate AI business intelligence tool. Any LLM, any document, full control, full privacy
- CTO Mira Murati on why OpenAI announced a brand new ChatGPT app for macOS,
with no mention of a Windows app.

- Apple Press Release: Apple introduces M4 chip

Simplified + Secure AI
Access the power of AI without compromising your organization’s data privacy and security with an Apple silicon-based AI solution from Macdome.
Privacy and security are our priorities, so your team can focus on what you do best – app development.
Dedicated Hardware
Hardware is never shared, which means there’s no chance your data is co-mingled with anyone else’s.
Limited Access
You control who accesses your machines. Use SSO if you already have it setup.
Self-contained
All your data and AI tools live in your private Mac cloud. Nowhere else.
Use your data to accelerate your business (and only your business)
A Mac private cloud is the safest place for your data. Your hardware is dedicated to you and your data never leaves.
AI-in-a-box
Accelerate your business with a custom app. Think of it as a safe chatbot for your internal teams. Leverage cutting-edge open-source models to index and summarize your private organizational data, which never leaves your cloud.
Marketing and Sales
Expedite content creation workflows by using AI to create the first drafts of documents and personalized marketing campaigns.
Product Development
Drive projects forward by using AI to identify trends in customer needs and draft technical documents.
Customer Support
Improve customer service by creating an internal chatbot to triage support tickets, answer common questions, and forecast service trends or anomalies.
Extend your app with AI
Expand your app’s capabilities with integrated AI models. Your app development team is already working and publishing on Apple platforms. AI works where they work.
Extend Existing Apps
Improve your user experience by adding AI features and functionality to your iOS and macOS apps.
Create New AI-powered Apps
Use the latest software and tools to create your own AI-powered application for Apple platforms.
Fine Tune Your Models
Leverage the newest Macs that have enough power to train and improve your app’s existing integrated AI functionality.
macOS AI Resources
Create ML Overview
Experience an entirely new way of training machine learning models on your Mac. Create ML takes the complexity out of model training while producing powerful Core ML models.
Core ML
Use Core ML to integrate machine learning models into your app. Core ML provides a unified representation for all models. Your app uses Core ML APIs and user data to make predictions, and to train or fine-tune models, all on a person’s device.
Machine Learning
Create intelligent features and enable new experiences for your apps by leveraging powerful on-device machine learning. Learn how to build, train, and deploy machine learning models into your iPhone, iPad, Mac, and Apple Watch apps.
MLX: An array framework for Apple silicon
MLX is a NumPy-like array framework designed for efficient and flexible machine learning on Apple silicon, brought to you by Apple machine learning research.
The Python API closely follows NumPy with a few exceptions. MLX also has a fully featured C++ API which closely follows the Python API.
Open ELM: An efficient language model family with open training and inference framework
OpenELM uses a layer-wise scaling strategy to efficiently allocate parameters within each layer of the transformer model, leading to enhanced accuracy.
Macdome is the best place for AI
Hyperscalers like AWS and Azure play a crucial role by providing scalable infrastructure to deploy AI solutions at scale. But they often do so with shared infrastructure, which can put your data at risk. Macdome private clouds are just that, private, and hosted on dedicated, genuine Apple hardware.
Additionally, hyperscalers charge based on usage, which can quickly escalate. Macdome private clouds are offered at a predictable monthly price for unlimited usage. So you never have to worry about surprise fees.
Lastly, and perhaps most importantly, Macdome doesn’t build or train AI models. We don’t have access to your cloud environment. We have no reason to collect your data.
You could. But do you have the in-house Mac expertise to keep it running smoothly for your team? Are you prepared to purchase new hardware when the newest Apple silicon chipset is released?
Let us do the heavy lifting. Macdome has been hosting Macs for over a decade. Our global data centers are certified to the highest level of cloud security and data privacy, allowing us to meet or exceed the requirements of even the most demanding teams. Plus, our team of Mac experts ensures your machines are always ready when you are.
Get your AI-ready
Mac Mini
Mac Mini with M4-chip
With 128GB of RAM, the Mac Mini M4 easily powers some of the largest open source language models. Larger models produce better, more reliable results and are more than most local machines can handle.
macOS AI News

Apple's recent bombshell of canceling its decade-long EV project, Titan, has sent shockwaves through the industry. However, amidst the fallout, a surge in acquisitions, research, and patent applications hints at a bold new focus on expanding AI applications.

Large Language Models (LLMs) are no longer just a buzzword. They’ve transformed the way we think about AI, making waves across various industries. While many initially associated LLMs with renowned models like ChatGPT or OpenAI’s GPT variants, the landscape has evolved.

After Microsoft invested $10 billion, OpenAI snubs Windows 11 as it releases ChatGPT app first on Mac. “We’re just prioritizing where our users are.”
Talk to an expert about AI on Mac
Learn more about how to accelerate your business with AI on a macOS private cloud