Rent a dedicated Mac Studio M5 Max, by the day.
128 GB of unified memory, SSH access with your own key and a remote desktop, paid upfront — no queues, no sharing.
- From $20 a day
- Book 1 to 5 days, up to 8 weeks ahead
- Everything erased after every reservation
$ ssh -p 2211 renter@ssh.gputorent.comrenter@mac-1 ~ % system_profiler SPHardwareDataType | grep -E "Chip|Memory" Chip: Apple M5 Max Memory: 128 GBrenter@mac-1 ~ % Available to reserve
A whole machine for you alone, for 1 to 5 days.
Mac Studio M5 Max · 128 GB
Apple M5 Max
A dedicated Mac Studio with the M5 Max chip and 128 GB of unified memory, reserved by the day.
- Chip
- Apple M5 Max
- CPU
- 18 cores
- 6 super + 12 performance
- GPU
- 40 cores
- Memory
- 128 GB unified
- 614 GB/s bandwidth
- Storage
- 1 TB SSD
- Dedicated physical machine — never shared
- SSH access with your own key
- Remote desktop over SSH
- 128 GB unified memory — run 70B-class models locally
- Optional startup script runs when your machine is ready
- Wiped clean at the end of your reservation
Coming soon
More machines on the way. They can't be reserved yet.
Mac Studio M5 Ultra · 96 GB
96 GB unified memory @ 1.2 TB/s
1 TB SSD
Mac Studio M5 Ultra · 256 GB
256 GB unified memory @ 1.2 TB/s
2 TB SSD
NVIDIA DGX Spark · 128 GB
128 GB LPDDR5x unified memory @ 273 GB/s
1 TB NVMe (self-encrypting)
How it works
From sign-up to a shell on your machine in four steps.
- 1
Pick a machine
Choose a machine from the catalog. Each one is a dedicated physical computer, never shared.
- 2
Add your SSH key
Paste your public key once. It's added to every machine you reserve, so you log in with your own key.
- 3
Choose your days
Pick 1 to 5 days in a row on the calendar, up to 8 weeks ahead. Green means free.
- 4
Pay and connect
Pay upfront by card. When the reservation goes live, copy the SSH command, with your machine's port, from the reservation page.
Why unified memory
Large models need memory more than anything else. A Mac Studio has one large pool that the CPU and GPU share.
One pool, no copying
The CPU and GPU read the same memory. Model weights load once: there's no separate graphics card with its own, smaller memory to fit them into.
Room for 70B-class models
128 GB holds a 70-billion-parameter model quantised to 4 bits, about 40 GB of weights, with room left for a long context.
Bandwidth sets the pace
Each generated token reads the model's weights from memory, so speed follows bandwidth: 614 GB/s on the Apple M5 Max.
From $20 a day
You pay for the days you book, upfront. No subscription, and every day costs the same.
Questions
Get a machine of your own
Pick your days, pay upfront and connect over SSH when your reservation starts.