Rent Mac Studio M5 Ultra Cloud — 256GB Unified Memory at $2.50/hr
Apple Mac Studio M5 Ultra instances with 256GB of unified memory at 1.2 TB/s. A dedicated machine over SSH with admin access and fast internal SSD storage. Built for AI researchers and engineers who need very large models on one box without enterprise overhead.
$2.50/hour — View pricing
Why Rent a Mac Studio M5 Ultra?
Hardware Specifications
- Chip: Apple M5 Ultra — quad-die, 36-core CPU, 80-core GPU, 32-core Neural Engine
- Memory: 256GB unified (512GB from late October 2026) — 1.2 TB/s shared by CPU, GPU and Neural Engine
- Storage: Fast internal SSD — Ephemeral or Persistent
- Access: Dedicated machine over SSH — admin (sudo) access, Screen Sharing optional
256GB of Unified Memory
Run DeepSeek-V3/R1-class models, Llama 3.1 405B, or Qwen3-235B at 4-bit entirely on one machine, fine-tune with LoRA in MLX, or hold several large models resident at once for multi-agent workflows — with no multi-GPU sharding, no NVLink and no PCIe hops.
4.5x the AI GPU Compute of M3 Ultra
An 80-core GPU with a Neural Accelerator in every core delivers up to 4.5x the peak GPU compute for AI of the M3 Ultra, alongside a 32-core Neural Engine and a 36-core CPU that is up to 1.3x faster multi-threaded than the previous generation.
Apple Silicon, Native
Develop on the same platform you'll ship to. MLX, Metal, Core ML and Xcode run natively — macOS-only builds, iOS/macOS CI, Swift toolchains and on-device-model work that do not exist on a Linux GPU box.
1.2 TB/s of Unified Bandwidth
1.2 TB/s of memory bandwidth — 50% more than M3 Ultra and over four times a DGX Spark — keeps decode-bound inference moving on models that would need a multi-GPU cluster anywhere else.
Who Is Enverge Mac Studio Cloud For?
The dividing line is whether the model fits in one machine's memory. Bandwidth is 1.2 TB/s, not 1.8 or 3.35 TB/s, so it is strongest at running very large models and Apple-native work rather than maximum tokens per second on small ones.
Built for you if...
- Very Large Model Inference — Where this machine is strongest. 256GB holds 200B–400B+ parameter models at 4-bit on one box, at a fraction of the cost of a multi-GPU node.
- MLX and llama.cpp Workflows — Native Apple Silicon inference and fine-tuning, with the whole unified memory pool available to the GPU.
- macOS and iOS Development — Xcode builds, Swift CI, Core ML conversion and on-device-model development on real Apple hardware.
- Multi-Agent Systems — Enough memory to keep a reasoning model, a coder and an embedding model resident at once, all large.
Not the best fit if...
- Maximum Throughput on Small Models — For models that fit in 96GB, an RTX Pro 6000 or H100 decodes faster per token on higher-bandwidth memory.
- CUDA-Only Stacks — Frameworks that require NVIDIA GPUs (custom CUDA kernels, TensorRT, vLLM CUDA builds) will not run here.
- Simple API Wrappers — If you are just calling OpenAI or Anthropic APIs, you do not need dedicated hardware.
Enverge Compute Range — Price Comparison
Every machine here is available from Enverge; NVIDIA rates mirror the pricing table on enverge.ai. The Mac Studio M5 Ultra carries far more memory than the RTX Pro 6000 at the same hourly rate, at about two thirds of the bandwidth. Capacity gets a model resident; bandwidth determines how fast it runs.
| Machine | Memory | Bandwidth | Hourly | Monthly |
|---|
| NVIDIA DGX Spark | 128GB unified | 273 GB/s | $0.75 | ~$548 |
| RTX Pro 6000 | 96GB GDDR7 | 1.8 TB/s | $1.95 | ~$1,424 |
| Mac Studio M5 Ultra | 256GB unified | 1.2 TB/s | $2.50 | ~$1,825 |
| NVIDIA H100 | 80GB HBM3 | 3.35 TB/s | $4.00 | ~$2,920 |
| NVIDIA H200 | 141GB HBM3e | 4.8 TB/s | $5.50 | ~$4,015 |
| NVIDIA B300 | 288GB HBM3e | 8 TB/s | $7.50 | ~$5,475 |
Monthly figures are the on-demand hourly rate × 730h, before any reserved-capacity discount. Mac Studio and DGX Spark memory is unified CPU+GPU.
Enverge Mac Studio Cloud Pricing
Pay-per-hour, no commitment. Billed daily for actual runtime.
Mac Studio M5 Ultra — $2.50/hour
Dedicated machine, 80-core GPU, 256 GB unified memory at 1.2 TB/s. 512 GB configuration from late October 2026.
- Full Admin (sudo) Access
- Founder Support (during beta)
- Dedicated machine over SSH
- Screen Sharing / VNC (optional)
- Fast internal SSD Storage
Frequently Asked Questions — Renting a Mac Studio M5 Ultra in the Cloud
What is Enverge Mac Studio Cloud?
Enverge Mac Studio Cloud gives you remote SSH access to a dedicated Apple Mac Studio with M5 Ultra and 256GB of unified memory (512GB from late October 2026). SSH is the primary path: you get the whole machine to yourself, with admin (sudo) access, fast internal SSD storage, and macOS with MLX, llama.cpp and PyTorch (MPS) preinstalled, without buying the hardware. Screen Sharing is available on top if you prefer a desktop.
How much does it cost to rent a Mac Studio M5 Ultra?
Pricing is pay-per-hour with no commitment: $2.50/hour for a dedicated Mac Studio M5 Ultra with 256GB of unified memory at 1.2 TB/s. That includes SSH with admin access, fast internal SSD storage, and founder support during beta. You are billed daily for actual runtime.
What is the difference between a Mac Studio M5 Ultra and an RTX Pro 6000?
The Mac Studio M5 Ultra has up to 512GB of unified memory at 1.2 TB/s shared by a 36-core CPU and an 80-core GPU with a Neural Accelerator in every core. The RTX Pro 6000 has 96GB of GDDR7 at 1.8 TB/s and higher raw FP16 matrix throughput. NVIDIA wins on per-token speed for models that fit in 96GB; the Mac Studio wins on capacity per dollar, holding 200B–400B+ parameter models on a single machine that the RTX card simply cannot load at all.
Who is Enverge Mac Studio Cloud for?
Teams running very large open models (DeepSeek-V3/R1, Llama 3.1 405B, Qwen3-235B class) on one box, MLX and llama.cpp developers, and Apple-platform engineers who need macOS-only builds, Xcode CI, Core ML conversion or on-device-model development — without buying a five-figure workstation or committing to long-term cloud contracts.
How do I access the Mac Studio?
SSH straight into your dedicated Mac Studio with an admin account and sudo — that is the main path, and MLX, llama.cpp, Ollama and PyTorch with the MPS backend are ready to use. Screen Sharing/VNC is there if you want the macOS desktop, but nothing requires it. Connect from any terminal.
Can I run large language models on a Mac Studio M5 Ultra?
Yes. 256GB of unified memory holds a 235B-class model at 4-bit with room to spare, and the 512GB configuration, arriving late October 2026, runs DeepSeek-V3/R1 or Llama 3.1 405B at 4-bit entirely on one machine, with no multi-GPU sharding, no NVLink and no PCIe hops.
Is the M6 in the Mac Studio?
No. The M6 debuted the same day in the Mac mini (12-core CPU, 12-core GPU, up to 32GB). The Mac Studio gets the M5 Max and M5 Ultra, which is where the 256GB and 512GB memory configurations live — the Mac mini tops out at 32GB.
What software is pre-installed?
Each instance comes with macOS Tahoe (26) or later, Xcode Command Line Tools, Homebrew, Python 3, MLX, llama.cpp, Ollama, and PyTorch with the MPS backend. You have admin access to install anything else.