Trusted by teams building the future on Apple Silicon
Deploy AI from the catalog
Pre-configured templates for the most popular AI workloads. Choose a stack, deploy in minutes.
Local LLM Deployments
Run Llama 3.3, Qwen, Mistral, DeepSeek with an OpenAI-compatible API. Zero config.
Llama · Qwen · Mistral · DeepSeek
Agent Hosting
OpenClaw, AutoGPT, CrewAI, LangGraph — pre-configured and running 24/7.
OpenClaw · AutoGPT · CrewAI · LangGraph
AI Development Environment
MLX, Core ML, Jupyter, VSCode Server — everything ready in 5 minutes.
MLX · Core ML · Jupyter · VSCode
Up and running in 3 steps
From zero to a production AI endpoint in under 5 minutes.
Choose
Browse the catalog. Pick a pre-configured template or start with a blank machine.
Deploy
One click. Dedicated Apple Silicon provisioned and configured in 5 minutes or less.
Use
OpenAI-compatible API, SSH, or web IDE. Your AI, running 24/7 on isolated hardware.
Built for every AI workload
Deploy autonomous agents from the catalog
Pick an Agent Hosting template — OpenClaw, AutoGPT, CrewAI, or LangGraph — and deploy in minutes. Your agent runs 24/7 on dedicated hardware with a local LLM backend, no cold starts, no idle timeouts.
Why we built on Apple Silicon
We don't sell Macs. We sell deployed AI. But the choice of hardware shapes what we can offer — and here's why it matters.
Unified memory, no hard ceiling
128 GB per node, and Thunderbolt 5 clustering lets you pool memory across devices. Run 70B on one node or 400B+ across a cluster.
Energy efficiency
Lower cost per inference means we charge a fixed monthly price without usage caps.
MLX and Core ML
Apple’s own ML stack, optimized for this silicon. First-class citizens in our catalog.
Privacy by architecture
One physical machine per customer. Your data never shares hardware with anyone else.
Drop-in OpenAI replacement
Change the base_url. That's it. Your existing OpenAI code works with Macyou deployments without modification.
from openai import OpenAI
client = OpenAI(
api_key="mcy_live_abc123...",
base_url="https://dep-abc123.macyou.cloud/v1"
)
response = client.chat.completions.create(
model="llama-3.3-70b",
messages=[{"role": "user", "content": "Hello!"}],
stream=True
)
for chunk in response:
print(chunk.choices[0].delta.content or "", end="")import OpenAI from "openai";
const client = new OpenAI({
apiKey: "mcy_live_abc123...",
baseURL: "https://dep-abc123.macyou.cloud/v1",
});
const completion = await client.chat.completions.create({
model: "llama-3.3-70b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);curl https://dep-abc123.macyou.cloud/v1/chat/completions \
-H "Authorization: Bearer mcy_live_abc123..." \
-H "Content-Type: application/json" \
-d '{"model":"llama-3.3-70b","stream":true,
"messages":[{"role":"user","content":"Hello!"}]}'Loved by developers worldwide
“Deployed Llama 3.3 70B from the catalog in under 4 minutes. Got an OpenAI-compatible endpoint, swapped the base_url in our app, and it just worked. Our cloud GPU bill dropped from $2,400/mo to $599/mo.”
“We picked the CrewAI template from the catalog and had a multi-agent stack running in minutes. The local LLM backend was already connected — no API keys to manage, no external dependencies.”
“We needed private AI inference without data leaving our machine. No CLOUD Act exposure, GDPR-friendly jurisdiction, dedicated hardware. Macyou’s physical isolation and 99.9% SLA made the decision easy.”
“Deployed an AutoGPT agent and Mistral 7B from the catalog on the Starter plan for $149/mo. The machine is always on, pre-configured, and I haven’t thought about infrastructure since.”
“The OpenAI-compatible API was the selling point. I changed one line of code — the base_url — and my entire research pipeline moved from OpenAI to a private Llama deployment. Fixed price beats per-token billing for research.”
“Migrated our inference fleet from MacStadium. The catalog cut our setup time from days to minutes. We’re saving $1,200/mo and the support team actually responds in under an hour.”
“For healthcare workloads we needed physical isolation, not just logical separation. Macyou gives us a dedicated machine where patient data never touches shared infrastructure. The HIPAA-ready architecture was exactly what our compliance team needed.”
“We tried three GPU cloud providers before Macyou. The catalog deployment experience is unmatched — pick a template, click deploy, get an endpoint. No Kubernetes, no Docker, no infrastructure management.”
Need more than self-serve?
Enterprise plans include unlimited deployments, custom SLA, BAA for healthcare, SOC 2 compliance, and a dedicated ML engineer. No public pricing — we build a plan around your requirements.