24GB AI PCs: Every System Compared
ASUS ROG Zephyrus G16 (RTX 5090) leads this page with an AIPC Score of 42.5, giving a local model about 24GB of usable AI memory at $5,099 for the 32GB / 2TB configuration. The cheapest tracked option here is Framework Desktop (Ryzen AI Max 385) at $1,269. 13 systems on this page, 11 with a verified price.
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| # | System | Type | AI Memory | GPU/NPU | AI Score | Price | Verified | View |
|---|---|---|---|---|---|---|---|---|
| 1 |  ASUS ROG Zephyrus G16 (RTX 5090) | Laptop | 24GB | GeForce RTX 5090 Laptop | 42.5 | $5,099 | View Deal on Amazon → | |
| 2 |  Lenovo Legion Pro 7i (RTX 5090) | Laptop | 24GB | GeForce RTX 5090 Laptop | 42.5 | $5,999 | View Deal on Amazon → | |
| 3 |  MSI Titan 18 HX (RTX 5090) | Laptop | 24GB | GeForce RTX 5090 Laptop | 42.5 | $6,699 | View Deal on Amazon → | |
| 4 |  Razer Blade 16 (RTX 5090) | Laptop | 24GB | GeForce RTX 5090 Laptop | 42.2 | No verified price | — | View details → |
| 5 |  Alienware 18 Area-51 (RTX 5090) | Laptop | 24GB | GeForce RTX 5090 Laptop | 42.2 | No verified price | — | View details → |
| 6 |  Apple Mac Studio (M5 Max) | Desktop | 27GB | Apple M5 Max 40-core GPU | 35.6 | $2,299 | View Deal on Amazon → | |
| 7 |  Apple MacBook Pro 14 (M5 Max) | Laptop | 27GB | Apple M5 Max 32-core GPU | 35.2 | Price awaiting re-verification | Check Price at Apple → | |
| 8 |  Apple MacBook Pro 16 (M5 Max) | Laptop | 27GB | Apple M5 Max 40-core GPU | 35.2 | Price awaiting re-verification | Check Price at Apple → | |
| 9 |  ASUS ROG Flow Z13 (2025) | Laptop | 24GB | Radeon 8060S | 30.1 | $2,030.99 | View Deal on Amazon → | |
| 10 |  Framework Desktop (Ryzen AI Max 385) | Desktop | 24GB | Radeon 8050S | 30.1 | Price awaiting re-verification | Check Price at Framework → | |
| 11 |  ASUS ProArt PX13 | Laptop | 24GB | Radeon 8060S | 29.8 | $2,329.99 | View Deal on Amazon → | |
| 12 |  Apple Mac mini (M6) | Mini PC | 24GB | Apple M6 GPU | 19.4 | $1,499 | View Deal on Amazon → | |
| 13 |  Apple MacBook Air 15 (M5) | Laptop | 24GB | Apple M5 10-core GPU | 18.8 | $1,899 | View Deal on Amazon → |
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.
The band where discrete GPUs appear
Twenty-four gigabytes is the first point where a dedicated graphics card and a unified-memory machine meet on capacity, and they behave nothing alike. A 24GB mobile RTX card delivers this memory at roughly 900 GB/s. A Mac or Ryzen AI Max machine reaching the same figure does so at a quarter of that. Same number on the spec sheet, very different experience.
A 14B model at Q4 fits comfortably here with room for a long context, and a 24B model fits if you keep the context modest. This is the band where local coding assistance stops feeling like a demo.
Choosing between the two routes
Take the discrete card if your models are small and you want answers quickly, especially if image generation is part of the plan. Take the unified machine if you expect to grow into larger models, because the card's 24GB is a wall and the unified machine's is a slope.