Side-by-side simulation · recommended settings
RTX 5090 vs M5 Max 128GB: Fast GPU or larger memory for local AI?
Choose between fast execution within 32GB and fitting a larger model in unified memory. Compare a model that fits both separately from one needing the Mac's additional capacity.
Choose devices and a model
Expand comparison settings
Same 117output tokens. Only evidence-qualified acceleration is selected automatically; runtime formats are shown on each device.
Left
ReadyRTX 5090 32GB
Press Start above to generate the same answer on both devices.
Right
ReadyStudio M5 Max 128GB
Press Start above to generate the same answer on both devices.
With these settings, RTX 5090 32GB finishes the full answer About 7.0× faster.
Compare from input processing to completion of 117 token response.
Which one fits my needs?
Answer completion
RTX 5090 32GB
At the estimate midpoint, it finishes the same answer about 7.0× faster.
Prompt processing
RTX 5090 32GB
The estimated input-processing midpoint is higher at 6,710 tok/s.
Image and video generation
Check the media model
LLM speed does not tell you media-generation performance. Choose the image or video model and resolution separately.
Runtime
Settings for your hardware
Strata 0.1.41 · IQ3_S · MTP-6 · INT8 KV · SSD PLE / MLX 4-bit. When runtime paths differ, the speed gap also includes software and model-format differences.
Estimated power draw
Studio M5 Max 128GB
Estimated LLM power draw is lower at about 165 W. Noise and physical size need a separate check.
Local pricing
RTX 5090 32GB is the price of GPU separately, Studio M5 Max 128GB is the price of finished product. For individual GPUs, you need to add the cost of the main body before comparing.
Before choosing hardware
| Measure | RTX 5090 32GB | Studio M5 Max 128GB |
|---|---|---|
| Available fast memory | 30.5GB | 114GB |
| Memory bandwidth | 1792GB/s | 614GB/s |
| Estimated total time | 1.2 s | 8.4 seconds |
| Estimated sustained LLM load | about 620W | about 165W |
| Korean price range (KRW) | 899–929 × KRW 10,000 | 922–1,050 × KRW 10,000 |
Estimated ranges for one user. Multi-GPU and multi-device results depend on the runtime and interconnect.
Compare answers from a fast small model and a larger one
Choose a few everyday questions before selecting hardware. Compare answers from a model that runs quickly on the 5090 with a larger file on Mac. Seeing which delivers the coding, summary or document answers you need helps prioritize speed versus capacity.
Include software and model files in the choice
NVIDIA paths need CUDA and the runtime's quantized files; Mac paths need MLX or Metal-compatible files. Check whether your chat or image app can connect to the new server. Follow the recommended configuration to its guide to connect the hardware choice with practical preparation.
Compare a GPU and a complete machine on total cost
A 5090 price does not include the whole PC. Reusing a chassis or building a new one changes cost substantially. Add required PC parts and peripherals on the same basis when comparing with Mac Studio's machine price. Check sustained power below for always-on use too.