MetalCloud is creating the world's first distributed Apple Silicon GPU cloud—making massive AI compute accessible, affordable, and sustainable.
Our Mission
The AI revolution is being held back by hardware scarcity. NVIDIA GPUs are backordered for months. Cloud GPU costs are astronomical. And the largest AI models require memory configurations that simply don't exist in traditional cloud infrastructure.
We saw a different path. Millions of Apple Silicon Macs sit idle around the world, each with unified memory architectures that can handle workloads impossible on traditional GPUs. A single Mac Studio M3 Ultra offers 512GB of GPU-accessible memory—more than 6x a top-tier NVIDIA H100.
MetalCloud connects developers who need this compute with Mac owners who have it. No hyperscaler markup. No artificial scarcity. Just distributed compute that works.
The principles that guide everything we build
We build for developers. Simple APIs, honest documentation, and tools that get out of your way. If it's not easy to use, we haven't finished building it.
No hidden fees. No surprise bills. No vendor lock-in. We tell you exactly what you're getting, what it costs, and how it compares to alternatives.
Apple Silicon is up to 10x more power-efficient than traditional GPUs. By utilizing existing hardware, we're building AI infrastructure that doesn't require new data centers.
Our Story
MetalCloud started with a simple frustration: we wanted to run large language models at full precision, but every cloud provider either couldn't offer enough memory or charged enterprise rates that made experimentation impossible.
Then we looked at the Mac Studio sitting on the desk. 192GB of unified memory. Completely idle at night. What if there were thousands of these machines, all over the world, all underutilized?
That question became MetalCloud. We built a secure daemon that lets Mac owners safely share their compute. We created an SDK that makes accessing this compute as simple as any cloud API. And we priced it fairly—sharing the value between developers and hosts.
Today, we're building a global network of Apple Silicon compute that offers capabilities no traditional cloud can match. 512GB of unified memory on a single machine. Full-precision inference for models others say require quantization. All at a fraction of hyperscaler prices.
We'd love to hear from you