Different platforms, same budget
NVIDIA DGX Spark vs HP Z2 Mini G1a
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
AMD Ryzen AI Max
HP Z2 Mini G1a
128 GB system memory
Open the recordWhat actually differs
- Different software stacks: the NVIDIA DGX Spark runs CUDA, the HP Z2 Mini G1a runs ROCm and Vulkan. Check that your runtime and model format are supported before comparing numbers.
- Both expose 128 GB to models (128 GB unified vs 128 GB system memory).
- Memory bandwidth is not in the record for the HP Z2 Mini G1a, so the Lab cannot compare generation speed ceilings.
- No public list price in the record for the HP Z2 Mini G1a. Ask the supplier for a configured quote.
- Form factor: Desktop AI system vs Mini workstation.
Which models fit
Estimate · 4-bit · 8K context · 1 request| Model | NVIDIA DGX Spark | HP Z2 Mini G1a |
|---|---|---|
| Llama 3.1 8B | Fits 16 GB≤ 48 tok/s | Fits 16 GBBandwidth not in record |
| Qwen3 14B | Fits 20 GB≤ 28 tok/s | Fits 20 GBBandwidth not in record |
| Qwen3 32B | Fits 32 GB≤ 13 tok/s | Fits 32 GBBandwidth not in record |
| Llama 3.3 70B | Fits 54 GB≤ 6.3 tok/s | Fits 54 GBBandwidth not in record |
| gpt-oss-20b (MoE) | Fits 23 GB≤ 110 tok/s | Fits 23 GBBandwidth not in record |
| gpt-oss-120b (MoE) | Fits 80 GB≤ 77 tok/s | Fits 80 GBBandwidth not in record |
| 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 | HP Z2 Mini G1a | |
|---|---|---|
| Chip / accelerator | GB10 Grace Blackwell Superchip | Ryzen AI Max+ PRO 395 · Radeon 8060S |
| Platform | NVIDIA GB10 | AMD Ryzen AI Max |
| Model memory | 128 GB unified | 128 GB system memory |
| Memory bandwidth | 273 GB/s | Verify selected configuration |
| Software stack | CUDA | ROCm and Vulkan |
| Operating system | NVIDIA DGX OS | Windows 11 Pro · reference |
| Storage | 4 TB NVMe | 1 TB · reference |
| Networking | 10 GbE · ConnectX-7 · Wi-Fi 7 | Confirm selected configuration |
| Form factor | Desktop AI system | Mini workstation |
| Dimensions | 150 × 150 × 50.5 mm | Confirm selected configuration |
| Weight | 1.2 kg | Not verified |
| Power rating (not consumption) | 240 W adapter · 140 W SoC TDP | 300 W internal power unit (E07RFPA) |
| Supplier list price | ≈ $4.7k · Supplier list price · United States · Sept 2026 | Price from the manufacturer · No public list price · manufacturer page |
| Availability | Listed for order · recheck with supplier | Check regional availability |
| Model configurations in the Lab | 6 | 2 |
| Setups in the Lab | 5 | 1 |
| 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.
HP Z2 Mini G1a
- Reference SKU E07RFPA. GPU-accessible memory depends on configuration; do not assume all system memory is available to the model.
- Runtime and full UT software support require validation.
NVIDIA DGX Spark compared with
ASUS Ascent GX10 Dell Pro Max with GB10 HP ZGX Nano G1n Lenovo ThinkStation PGX Acer Veriton GN100 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 AMD Ryzen AI Halo NVIDIA DGX StationHP Z2 Mini G1a compared with
HP ZGX Nano G1nOwn one of these? A measured run (model revision, runtime, context, tokens per second) is worth more than this whole page. Publish it.