Same chip, different box
NVIDIA DGX Spark vs Acer Veriton GN100
Memory, bandwidth, software stack, price and the models each one can hold. Generated from the two sourced machine records; estimates are labelled.
NVIDIA GB10
NVIDIA DGX Spark
128 GB unified
Open the record
NVIDIA GB10
Acer Veriton GN100
128 GB unified
Open the recordWhat actually differs
- Same GB10 platform. Model recipes carry over; the real differences are chassis, storage, cooling, support and price.
- Both have 128 GB unified, so the same models fit.
- Same memory bandwidth (273 GB/s), so the same decode ceiling for a model that fits on both.
- The NVIDIA DGX Spark lists about $801 lower (≈ $4.7k vs ≈ $5.5k). Offers are dated snapshots in different regions and tax conditions.
Which models fit
Estimate · 4-bit · 8K context · 1 request| Model | NVIDIA DGX Spark | Acer Veriton GN100 |
|---|---|---|
| Llama 3.1 8B | Fits 16 GB≤ 48 tok/s | Fits 16 GB≤ 48 tok/s |
| Qwen3 14B | Fits 20 GB≤ 28 tok/s | Fits 20 GB≤ 28 tok/s |
| Qwen3 32B | Fits 32 GB≤ 13 tok/s | Fits 32 GB≤ 13 tok/s |
| Llama 3.3 70B | Fits 54 GB≤ 6.3 tok/s | Fits 54 GB≤ 6.3 tok/s |
| gpt-oss-20b (MoE) | Fits 23 GB≤ 110 tok/s | Fits 23 GB≤ 110 tok/s |
| gpt-oss-120b (MoE) | Fits 80 GB≤ 77 tok/s | Fits 80 GB≤ 77 tok/s |
| Qwen3 235B-A22B (MoE) | Too large 151 GB | Too large 151 GB |
| DeepSeek V3 / R1 671B (MoE, MLA) | Too large 408 GB | Too large 408 GB |
Specifications
Sourced and dated| NVIDIA DGX Spark | Acer Veriton GN100 | |
|---|---|---|
| Chip / accelerator | GB10 Grace Blackwell Superchip | GB10 Grace Blackwell Superchip |
| Platform | NVIDIA GB10 | NVIDIA GB10 |
| Model memory | 128 GB unified | 128 GB unified |
| Memory bandwidth | 273 GB/s | 273 GB/s |
| Software stack | CUDA | CUDA |
| Operating system | NVIDIA DGX OS | NVIDIA DGX OS |
| Storage | 4 TB NVMe | 2 TB NVMe M.2 |
| Networking | 10 GbE · ConnectX-7 · Wi-Fi 7 | ConnectX-7 · Wi-Fi 7 · Bluetooth 5.4 |
| Form factor | Desktop AI system | Desktop AI system |
| Dimensions | 150 × 150 × 50.5 mm | 150 × 150 × 50.8 mm · rounded from inches |
| Weight | 1.2 kg | Not verified |
| Power rating (not consumption) | 240 W adapter · 140 W SoC TDP | 170 W power-supply listing from Acer · confirm the delivered adapter |
| Supplier list price | ≈ $4.7k · Supplier list price · United States · Sept 2026 | ≈ $5.5k · Supplier list price · United States · Sept 2026 |
| Availability | Listed for order · recheck with supplier | In stock at source on review date |
| Model configurations in the Lab | 6 | 6 |
| Setups in the Lab | 5 | 5 |
| Record reviewed | 2026-09-13 | 2026-09-07 |
Before you choose
NVIDIA DGX Spark
- Memory capacity does not establish interactive speed or simultaneous request capacity.
- UT has documented a Spark deployment. Confirm exact software versions and support scope.
Acer Veriton GN100
- The listed US offer is the VGN100-UD13 configuration with 128 GB unified memory and a 2 TB NVMe drive; other regional SKUs may differ in storage and bundled software.
- Acer positions the GN100 on NVIDIA's GB10 reference platform. Vendor and community GB10 guidance applies to the platform; no Lab measurement exists for this exact chassis.
- Memory capacity alone does not establish speed, runtime compatibility or production capacity.
NVIDIA DGX Spark compared with
ASUS Ascent GX10 Dell Pro Max with GB10 HP ZGX Nano G1n Lenovo ThinkStation PGX GIGABYTE AI TOP ATOM MSI EdgeXpert Apple Mac Studio · M3 Ultra Apple Mac Studio · M5 Ultra Framework Desktop · Ryzen AI Max+ MINISFORUM MS-S1 MAX HP Z2 Mini G1a AMD Ryzen AI Halo NVIDIA DGX StationOwn one of these? A measured run (model revision, runtime, context, tokens per second) is worth more than this whole page. Publish it.