AI Desktops Compared by Memory and Bandwidth
ASUS ROG G700 (RTX 5090) leads this page with an AIPC Score of 51.2, giving a local model about 32GB of usable AI memory at $2,399 for the 32GB / 1TB configuration. The cheapest tracked option here is Framework Desktop (Ryzen AI Max 385) at $1,269. 20 systems on this page, 9 with a verified price.
Updated
| # | System | Type | AI Memory | GPU/NPU | AI Score | Price | Verified | View |
|---|---|---|---|---|---|---|---|---|
| 1 |  ASUS ROG G700 (RTX 5090) | Desktop | 32GB | GeForce RTX 5090 | 51.2 | $2,399 | View Deal on Amazon → | |
| 2 |  Corsair Vengeance i7500 (RTX 5090) | Desktop | 32GB | GeForce RTX 5090 | 50.4 | No verified price | — | View details → |
| 3 |  Corsair Vengeance a7500 (RTX 5090) | Desktop | 32GB | GeForce RTX 5090 | 50.4 | No verified price | — | View details → |
| 4 |  Alienware Area-51 (RTX 5090) | Desktop | 32GB | GeForce RTX 5090 | 50.4 | No verified price | — | View details → |
| 5 |  HP OMEN 45L (RTX 5090) | Desktop | 32GB | GeForce RTX 5090 | 50.4 | No verified price | — | View details → |
| 6 |  Lenovo Legion Tower 7i (RTX 5090) | Desktop | 32GB | GeForce RTX 5090 | 50.4 | No verified price | — | View details → |
| 7 |  MSI MEG Vision X AI (RTX 5090) | Desktop | 32GB | GeForce RTX 5090 | 50.4 | No verified price | — | View details → |
| 8 |  Framework Desktop (Ryzen AI Max+ PRO 495) | Desktop | 144GB | Radeon 8060S (40 CU) | 46.1 | Price awaiting re-verification | Check Price at Framework → | |
| 9 |  Apple Mac Studio (M5 Ultra) | Desktop | 72GB | Apple M5 Ultra 80-core GPU | 43.9 | Price awaiting re-verification | Check Price at Apple → | |
| 10 | Framework Desktop | Desktop | 48GB | Radeon 8060S (40 CU) | 34.9 | Price awaiting re-verification | Check Price at Framework → | |
| 11 |  Alienware Aurora (RTX 5080) | Desktop | 16GB | GeForce RTX 5080 | 31.8 | $3,602.57 | View Deal on Amazon → | |
| 12 |  HP OMEN 35L (RTX 5080) | Desktop | 16GB | GeForce RTX 5080 | 31.5 | No verified price | — | View details → |
| 13 |  Lenovo Legion Tower 5 (RTX 5070 Ti) | Desktop | 16GB | GeForce RTX 5070 Ti | 30 | $2,880.44 | View Deal on Amazon → | |
| 14 |  Skytech King 95 (RTX 5070 Ti) | Desktop | 16GB | GeForce RTX 5070 Ti | 29.6 | No verified price | — | View details → |
| 15 |  MSI Aegis R2 AI (RTX 5070 Ti) | Desktop | 16GB | GeForce RTX 5070 Ti | 29.6 | No verified price | — | View details → |
| 16 |  Lenovo Legion Tower 5i (RTX 5070 Ti) | Desktop | 16GB | GeForce RTX 5070 Ti | 29.6 | No verified price | — | View details → |
| 17 |  KOTIN Gaming PC (RTX 5070 Ti) | Desktop | 16GB | GeForce RTX 5070 Ti | 29.6 | No verified price | — | View details → |
| 18 |  Apple Mac Studio (M5 Max) | Desktop | 27GB | Apple M5 Max 40-core GPU | 28.3 | $2,299 | View Deal on Amazon → | |
| 19 |  Acer Nitro 85 (RX 9070 XT) | Desktop | 16GB | Radeon RX 9070 XT | 26.4 | Price awaiting re-verification | Check Price at Acer → | |
| 20 | Framework Desktop (Ryzen AI Max 385) | Desktop | 24GB | Radeon 8050S | 26.3 | Price awaiting re-verification | Check Price at Framework → |
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply to the purchase of this product.
Why desktops still win on speed
A desktop chassis holds its clocks, feeds a full-power graphics card and takes a second card or a larger one later. For image and video generation, where raw compute decides how long you wait, that matters more than anything else on the spec sheet.
Usable AI memory decides what a machine can load at all, and memory bandwidth decides how fast it answers once loaded. Those two numbers matter more than the processor name on the box. A machine with a large unified pool and modest bandwidth will run a very large model slowly; a machine with a fast narrow pool will run a small model quickly and refuse a large one outright.
The VRAM ceiling
A desktop with a discrete card gives a model the card's VRAM and nothing more. System RAM still helps, because layers that do not fit can run on the processor, but that path is slow enough that we list it separately as CPU offload capacity rather than folding it into the headline figure.