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.
Access the power of AI without compromising your organization’s data privacy and security with an Apple silicon-based AI solution from MacStadium.
Privacy and security are our priorities, so your team can focus on what you do best - app development.

Hardware is never shared, which means there’s no chance your data is co-mingled with anyone else’s.
You control who accesses your machines. Use SSO if you already have it setup.
All your data and AI tools live in your private Mac cloud. Nowhere else.
A Mac private cloud is the safest place for your data. Your hardware is dedicated to you and your data never leaves.

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.
Expedite content creation workflows by using AI to create the first drafts of documents and personalized marketing campaigns.
Drive projects forward by using AI to identify trends in customer needs and draft technical documents.
Improve customer service by creating an internal chatbot to triage support tickets, answer common questions, and forecast service trends or anomalies.

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.
Improve your user experience by adding AI features and functionality to your iOS and macOS apps.
Use the latest software and tools to create your own AI-powered application for Apple platforms.
Leverage the newest Macs that have enough power to train and improve your app’s existing integrated AI functionality.

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.

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.

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 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.

OpenELM uses a layer-wise scaling strategy to efficiently allocate parameters within each layer of the transformer model, leading to enhanced accuracy.
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. MacStadium private clouds are just that, private, and hosted on dedicated, genuine Apple hardware.
Additionally, hyperscalers charge based on usage, which can quickly escalate. MacStadium 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, MacStadium 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. MacStadium 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.
You can. But as AI continues to grow and develop, you won’t always be able to guarantee the safety of your private company data. If you're concerned about your company’s data privacy and security, but don’t want to build and manage your own data center, a Mac private cloud with MacStadium is the right solution for you.

With 128GB of RAM, the S2.L 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.
Learn more about how to accelerate your business with AI on a macOS private cloud
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