Ascent GX10, GB10 Grace Blackwell, 128GB
1TB of storage, 273GB/s of memory bandwidth, and 120GB of unified LPDDR5X memory left for a model once DGX OS has taken its share. It holds 21 of the 30 models we track.
The same GB10 chip, the same 128GB and the same 273GB/s as NVIDIA's DGX Spark, with 1TB of storage instead of 4TB. ASUS now charges $5,999 for it in its own store, $1,300 more than in August and $1,300 over NVIDIA's own price for the DGX Spark. Best Buy's listing is the one to check first.
Also sold on the same chip, same 128GB, same 273GB/s, all dearer than the two on the Grid, priced 28 Aug 2026:
- HP ZGX Nano G1n — $5,199, storage tier unconfirmed
- Dell Pro Max with GB10 — $5,654.39, 4TB
- Lenovo ThinkStation PGX — $5,849, 1TB
- Acer Veriton GN100 — $6,691.49, 4TB
Offers
checked 46 days ago- Best Buycheapest todayin stockchecked 46 days ago$3,999.99
Read on 28 Aug 2026 and not re-read since: Best Buy blocks our automated checks, so this number is old and we say so rather than imply it is current. It was $1,999 under ASUS's own store once ASUS raised its price in September.
- ASUSlist pricein stockchecked 2 hours ago$5,999
Best Buy undercuts ASUS by $1,999.01.
Timing
Buy now. $3,999.99 is the lowest price in 47 days.
- 28 Aug 2026$3,999.99
- 27 Sept 2026$5,999
Models it runs — 8K context
- Won't fit— headroom
- Won't fit— headroom
- Won't fit— headroom
- Won't fit— headroom
- Won't fit— headroom
- Won't fit— headroom
- Won't fit— headroom
- Won't fit— headroom
- Won't fit— headroom
- Qwen3-235B-A22BQ3_K_MTight3GB headroomest. 12.7 tok/s
- MiniMax-M2Q3_K_MTight5GB headroomest. 27.9 tok/s
- Fits15GB headroomest. 1.8 tok/s
- gpt-oss-120bQ6_KFits23GB headroomest. 32.6 tok/s
- Tight2GB headroomest. 7.6 tok/s
- Qwen3-Coder-NextQ8_0Fits34GB headroomest. 42.8 tok/s
- Llama-3.3-70BQ8_0Fits42GB headroomest. 2.4 tok/s
- Qwen3.5-35B-A3BBF16Fits49GB headroomest. 22.8 tok/s
- Qwen3-32BBF16Fits53GB headroomest. 2.8 tok/s
- Gemma-4-31BBF16Fits56GB headroomest. 2.9 tok/s
- Qwen3-30B-A3BBF16Fits57GB headroomest. 20.7 tok/s
- Gemma-3-27BBF16Fits63GB headroomest. 3.3 tok/s
- Qwen3.6-27BBF16Fits65GB headroomest. 3.3 tok/s
- Gemma-4-26B-A4BBF16Fits68GB headroomest. 18.0 tok/s
- Fits70GB headroomest. 3.7 tok/s
- gpt-oss-20bBF16Fits77GB headroomest. 19.0 tok/s
- Phi-4BF16Fits89GB headroomest. 6.3 tok/s
- Gemma-4-12BBF16Fits95GB headroomest. 7.4 tok/s
- Fits102GB headroomest. 11.1 tok/s
- Gemma-3n-E4BBF16Fits105GB headroomest. 22.2 tok/s
- Qwen3-4BBF16Fits110GB headroomest. 22.2 tok/s
| Model | Best quant | Fit | Headroom | Est. speed |
|---|---|---|---|---|
| Llama-4-Behemoth | — | Won't fit | — | — |
| DeepSeek-V4-Pro | — | Won't fit | — | — |
| Kimi-K2-Instruct | — | Won't fit | — | — |
| DeepSeek-V3 | — | Won't fit | — | — |
| DeepSeek-R1 | — | Won't fit | — | — |
| Qwen3-Coder-480B-A35B-Instruct | — | Won't fit | — | — |
| Llama-4-Maverick-17B-128E | — | Won't fit | — | — |
| GLM-4.6 | — | Won't fit | — | — |
| DeepSeek-V4-Flash | — | Won't fit | — | — |
| Qwen3-235B-A22B | Q3_K_M | Tight | 3GB | 12.7 tok/s |
| MiniMax-M2 | Q3_K_M | Tight | 5GB | 27.9 tok/s |
| Mistral-Large-2411 | Q6_K | Fits | 15GB | 1.8 tok/s |
| gpt-oss-120b | Q6_K | Fits | 23GB | 32.6 tok/s |
| Llama-4-Scout-17B-16E | Q8_0 | Tight | 2GB | 7.6 tok/s |
| Qwen3-Coder-Next | Q8_0 | Fits | 34GB | 42.8 tok/s |
| Llama-3.3-70B | Q8_0 | Fits | 42GB | 2.4 tok/s |
| Qwen3.5-35B-A3B | BF16 | Fits | 49GB | 22.8 tok/s |
| Qwen3-32B | BF16 | Fits | 53GB | 2.8 tok/s |
| Gemma-4-31B | BF16 | Fits | 56GB | 2.9 tok/s |
| Qwen3-30B-A3B | BF16 | Fits | 57GB | 20.7 tok/s |
| Gemma-3-27B | BF16 | Fits | 63GB | 3.3 tok/s |
| Qwen3.6-27B | BF16 | Fits | 65GB | 3.3 tok/s |
| Gemma-4-26B-A4B | BF16 | Fits | 68GB | 18.0 tok/s |
| Devstral-Small-2507 | BF16 | Fits | 70GB | 3.7 tok/s |
| gpt-oss-20b | BF16 | Fits | 77GB | 19.0 tok/s |
| Phi-4 | BF16 | Fits | 89GB | 6.3 tok/s |
| Gemma-4-12B | BF16 | Fits | 95GB | 7.4 tok/s |
| Qwen3-VL-8B-Instruct | BF16 | Fits | 102GB | 11.1 tok/s |
| Gemma-3n-E4B | BF16 | Fits | 105GB | 22.2 tok/s |
| Qwen3-4B | BF16 | Fits | 110GB | 22.2 tok/s |
Best quant is the highest-quality one that still loads with headroom. Every speed is an estimate; the formula is here.