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Compare edge AI platforms
Put up to four platforms side by side. Comparisons use the same published information shown on each product page, so nothing is estimated or inferred.
1/4 selected.
| Attribute | NVIDIA DGX SparkNVIDIA |
|---|---|
| AI performance | Up to 1,000 TOPS inference, up to 1 PFLOP FP4 (sparse) |
| Processor | NVIDIA GB10 Grace Blackwell Superchip, 20-core Arm CPU (10× Cortex-X925, 10× Cortex-A725) |
| GPU | Blackwell GPU, 6,144 CUDA cores, 5th-gen Tensor cores |
| Memory | 128 GB LPDDR5X unified, 256-bit, 273 GB/s |
| Storage and networking | 1 TB or 4 TB NVMe M.2; 10GbE RJ-45, ConnectX-7 (2× QSFP), Wi-Fi 7 |
| Power and size | 240 W external PSU (140 W SoC TDP); 150 × 150 × 50.5 mm, 1.2 kg |
| Deployment | Desk-side development environment or small on-premise lab |
| Use cases | Local large model inference, Model fine-tuning, Robotics and vision development |
| Details | View product |
Specifications are summarised from publicly published manufacturer material and are provided for orientation only. Always confirm current figures directly with the manufacturer before purchasing or designing in.