Apple Mac Studio M2 Ultra (192GB) vs Custom RTX 5090 AI Workstation (Value Build) for Local AI
Side-by-side comparison of 2 AI workstation configurations. All specs from manufacturer datasheets.
| Specification | Apple Mac Studio M2 Ultra (192GB) | Custom RTX 5090 AI Workstation (Value Build) |
|---|---|---|
| Form Factor | compact desktop | desktop tower |
| GPU Model | Apple M2 Ultra GPU (76-core) | NVIDIA GeForce RTX 5090 |
| GPU Count | 1 | 1 |
| Gpu vram each gb | 192 | 32 |
| Total GPU VRAM (GB) | 192 | 32 |
| Memory Architecture | unified (LPDDR5) | dedicated VRAM (GDDR7) |
| Gpu memory bandwidth each gbps | 800 | 1792 |
| System RAM (GB) | 192 | 64 |
| System Memory Type | LPDDR5 unified | DDR5-5600 |
| CPU Model | Apple M2 Ultra (24-core CPU) | AMD Ryzen 9 9950X |
| CPU Vendor | Apple | AMD |
| Cpu cores | 24 | 16 |
| Storage primary gb | 1024 | 2048 |
| Storage Type | NVMe SSD | NVMe SSD (PCIe 5.0) |
| NVLink Support | — | No (RTX 5090 does not support NVLink) |
| Power supply watts | 370 | 1200 |
| Estimated peak power watts | 370 | 850 |
| Cooling | active air | air (custom AIO optional) |
| Dimensions | 197 × 197 × 95 mm | Mid-tower ATX |
| Weight kg | 5.7 | — |
| Operating system | macOS | Linux (Ubuntu 24.04) / Windows 11 |
| CUDA Support | No | Yes |
| Metal Support | Yes (MLX framework) | No |
| Linux Support | No (not officially) | Yes |
| Windows Support | No | Yes |
| Wsl support | No | Yes (WSL2 with CUDA) |
| Warranty (Years) | 1 | Varies by component (typically 3yr GPU) |
| Onsite Support | No (AppleCare+ available) | No |
| Release Year | 2023 | 2025 |
Category Winners
Most Accelerator Memory
Apple Mac Studio M2 Ultra (192GB)
Lowest Price
Custom RTX 5090 AI Workstation (Value Build)
Lowest Power
Apple Mac Studio M2 Ultra (192GB)
Best Value (VRAM/$)
Apple Mac Studio M2 Ultra (192GB)
Model-Fit Comparison (Q4 Quantization)
Calculated estimates using the site's central ModelFitService.
| Model | Apple Mac Studio M2 Ultra (192GB) | Custom RTX 5090 AI Workstation (Value Build) |
|---|---|---|
| Llama 3.1 8B | ✓ | ✓ |
| Llama 3.1 70B | ✓ | ✗ |
| Llama 3.2 1B | ✓ | ✓ |
| Llama 3.2 3B | ✓ | ✓ |
| Qwen 2.5 7B | ✓ | ✓ |
| Qwen 2.5 14B | ✓ | ✓ |
| Qwen 2.5 32B | ✓ | ✓ |
| Qwen 2.5 72B | ✓ | ✗ |
| Mistral 7B | ✓ | ✓ |
| Mixtral 8x7B | ✓ | ✓ |
| DeepSeek R1 7B | ✓ | ✓ |
| DeepSeek R1 32B | ✓ | ✓ |
| DeepSeek R1 70B | ✓ | ✗ |
| Phi-3 Medium 14B | ✓ | ✓ |
| Gemma 2 9B | ✓ | ✓ |
| Gemma 2 27B | ✓ | ✓ |
| Stable Diffusion XL | ✓ | ✓ |
| Flux.1 Dev | ✓ | ✓ |
| Flux.1 Schnell | ✓ | ✓ |
Which Should You Choose?
Apple Mac Studio M2 Ultra (192GB)
AppleBest value for loading very large models locally. 192GB unified memory at $6,999 is unmatched per-GB cost.
Best for: Large model inference (70B-405B class)
Limitation: No CUDA, significantly slower token generation than NVIDIA for most models
Custom RTX 5090 AI Workstation (Value Build)
Custom BuildBest value CUDA workstation. RTX 5090 with 32GB VRAM handles 7B-14B models at full speed, 33B with quantization.
Best for: Budget CUDA development and inference
Limitation: 32GB VRAM limits model size; DIY means no unified warranty
Some links are affiliate links. See our disclosure. Specifications from manufacturer datasheets — no hands-on testing was performed.