GMKtec EVO-X2
Ryzen AI Max+ 395, 64GB / 1TB
64 GB · 256 GB/s
Budget guide · 70B models
The cheapest rig we track that holds Llama 3.3 70B at 4-bit (~46 GB) is the GMKtec EVO-X2 at $2,200 (64 GB, ~5 tok/s, tight fit). Best price per token/sec: Mac Studio M5 Ultra ($5,499, ~23 tok/s). Fastest: PNY NVIDIA RTX PRO 6000 Blackwell at ~34 tok/s for $17,899 (card only, needs a host PC). A dense 70B reads all its weights for every token, so speed follows memory bandwidth almost exactly. Prices & stock checked 2026-10-24. Prices change daily and some retailers block our checker, so always confirm on the store page.
| Machine | Price | Memory | Bandwidth | 4-bit fit & est. speed | $ per tok/s |
|---|---|---|---|---|---|
| GMKtec EVO-X2Strix Halo | $2,200 | 64 GB | 256 GB/s | Tight fit~5 tok/s | $456.09 |
| GMKtec EVO-X2Strix Halo | $3,500 | 128 GB | 256 GB/s | Fits~5 tok/s | $725.60 |
| Minisforum MS-S1 MaxStrix Halo | $3,919 | 128 GB | 256 GB/s | Fits~5 tok/s | $812.46 |
| Beelink GTR9 ProStrix Halo | $4,349 | 128 GB | 256 GB/s | Fits~5 tok/s | $901.61 |
| Framework Desktop DIYStrix Halo | $4,839 | 128 GB | 256 GB/s | Fits~5 tok/s | $1,003 |
| Mac Studio M5 UltraMac Studio | $5,499 | 96 GB | 1,200 GB/s | Fits~23 tok/s | $241.41 |
| Lenovo ThinkStation PGXDGX Spark / GB10 | $5,859 | 128 GB | 273 GB/s | Fits~5 tok/s | $1,183 |
| ASUS Ascent GX10DGX Spark / GB10 | $5,999 | 128 GB | 273 GB/s | Fits~5 tok/s | $1,211 |
| NVIDIA DGX SparkDGX Spark / GB10 | $6,950 | 128 GB | 273 GB/s | Fits~5 tok/s | $1,403 |
| HP ZGX Nano G1nDGX Spark / GB10 | $7,699 | 128 GB | 273 GB/s | Fits~5 tok/s | $1,554 |
| Gigabyte AI TOP ATOMDGX Spark / GB10 | $8,499 | 128 GB | 273 GB/s | Fits~5 tok/s | $1,716 |
| PNY NVIDIA RTX PRO 6000 BlackwellRTX PRO 6000 (card only, needs a host PC) | $17,899 | 96 GB | 1,792 GB/s | Fits~34 tok/s | $528.60 |
Llama 3.3 70B at Q4_K_M, ~8K context, one user. "$ per tok/s" = price ÷ our estimated speed. GPU cards are card-only prices. Too small for it: everything else we track, up to Mac Studio M5 Max (48 GB). How we estimate
| Hardware | Model / run | Measured tok/s | Our formula | Source |
|---|---|---|---|---|
| Strix Halo256 GB/s | Llama 3.3 70B Q4_K_Mllama.cpp Vulkan tg128 | 4.8 | 4.8 | source |
| M3 Ultra 80c819 GB/s | Llama 3.3 70B 4-bitMLX (oMLX) 1K ctx | 17.0 | 16.8 | source |
| RTX PRO 60001,792 GB/s | Llama 3.3 70B Q4_K_Mllama.cpp tg128 | 34.0 | 33.8 | source |
| Framework Desktop (Strix Halo)256 GB/s | Llama 3.1 70B Q4_K_MOllama (Geerling) | 5.0 | 4.8 | source |
| Dell Pro Max GB10273 GB/s | Llama 3.1 70B Q4_K_MOllama (Geerling) | 4.7 | 4.9 | source |
| M3 Ultra 512GB819 GB/s | Llama 3.1 70B Q4_K_MOllama (Geerling) | 14.1 | 15.7 | source |
Public single-user decode results we calibrate against.
Ryzen AI Max+ 395, 64GB / 1TB
64 GB · 256 GB/s
Ryzen AI Max+ 395, 128GB / 1TB
128 GB · 256 GB/s
Ryzen AI Max+ 395, 128GB / 2TB
128 GB · 256 GB/s
Ryzen AI Max+ 395, 128GB / 2TB
128 GB · 256 GB/s
Of the rigs we track, the GMKtec EVO-X2 at $2,200 (GMKtec store, checked 2026-10-24). It has 64 GB, about 48 GB usable, and we estimate ~5 tok/s for Llama 3.3 70B at 4-bit.
About 46 GB at 4-bit (Q4_K_M) and 80 GB at 8-bit, including ~8K context.
Not fully in VRAM at 4-bit: 24 or 32 GB is well under the ~46 GB needed. You can offload layers to system RAM, but speed drops sharply. We don't track multi-GPU builds.
Public measurements: Strix Halo 4.8 tok/s; M3 Ultra 80c 17.0 tok/s; RTX PRO 6000 34.0 tok/s; Framework Desktop (Strix Halo) 5.0 tok/s; Dell Pro Max GB10 4.7 tok/s; M3 Ultra 512GB 14.1 tok/s. Unified-memory boxes around 256–273 GB/s land near 5 tok/s.
On bandwidth-limited boxes, mixture-of-experts models like GPT-OSS 120B or Qwen3.5 122B-A10B fit in similar memory and run several times faster, because they read only their active parameters per token.
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