NVIDIA DGX Spark 4TB Personal AI Supercomputer
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- AI Processor: NVIDIA® GB10 Grace Blackwell Superchip — 1 petaFLOP AI Performance (FP4, Sparse); 5th-Gen Tensor Cores; 4th-Gen RT Cores
- CPU: NVIDIA® Grace CPU — Arm 20-core (10× Cortex-X925 + 10× Cortex-A725)
- Memory: 128 GB LPDDR5x Unified System Memory — 256-bit interface, 273 GB/s bandwidth; run models up to 200B parameters
- Storage: 4 TB NVMe M.2 SSD with self-encryption
- Connectivity: Wi-Fi 7 | Bluetooth® 5.3 | 10 GbE (ConnectX-7 Smart NIC @ 200 Gbps) | 4× USB Type-C
- Display Output: 1× HDMI 2.1a + up to 3× DisplayPort via USB-C
- OS: NVIDIA® DGX™ OS — AI software stack pre-installed
- Form Factor: Compact Mini PC — 150 × 150 × 50.5 mm, ~1.14L, 1.2 kg | Cluster 2 units for 405B-parameter models | 1-Year Warranty
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The NVIDIA DGX Spark (4TB) brings petaFLOP-class AI computing to your desk. Powered by the NVIDIA® GB10 Grace Blackwell Superchip with 128 GB LPDDR5x unified system memory and a 4 TB self-encrypting NVMe M.2 SSD, it delivers 1 petaFLOP AI performance (FP4) in a compact ~1.14-litre form factor. Run large language models up to 200 billion parameters, fine-tune models up to 70 billion parameters, or cluster two DGX Spark units to tackle models up to 405 billion parameters. Built on the NVIDIA® DGX™ Spark platform, the DGX Spark ships with the full NVIDIA DGX software stack — ready for AI development, deep learning, data science, fine-tuning, inference, and computer vision workflows straight out of the box.
| AI Performance | |
| Platform | NVIDIA DGX™ Spark |
| Superchip | NVIDIA® GB10 Grace Blackwell Superchip |
| AI Performance (FP4) | 1 PFLOP (petaFLOP) — Sparse, FP4 |
| Tensor Cores | 5th Generation |
| RT Cores | 4th Generation |
| Supported Precisions | TF32, FP16, BF16, INT8, FP8, FP6, FP4 |
| NVENC / NVDEC | 1× NVENC / 1× NVDEC |
| CPU & Memory | |
| CPU | NVIDIA® Grace CPU — Arm 20-core (10× Cortex-X925 + 10× Cortex-A725) |
| System Memory | 128 GB LPDDR5x Coherent Unified System Memory |
| Memory Interface | 256-bit |
| Memory Bandwidth | 273 GB/s |
| Max Model Size (Inference) | Up to 200 billion parameters |
| Max Model Size (Fine-Tuning) | Up to 70 billion parameters |
| Storage | |
| Primary Storage | 4 TB NVMe M.2 SSD (Self-Encrypting) |
| Connectivity | |
| Wi-Fi | Wi-Fi 7 |
| Bluetooth | Bluetooth® 5.3 |
| Ethernet | 1× RJ-45 10 GbE |
| Smart NIC | NVIDIA ConnectX-7 Smart NIC (200 Gbps) |
| USB | 4× USB Type-C |
| Display Outputs | |
| HDMI | 1× HDMI 2.1a |
| DisplayPort (via USB-C) | Up to 3× DisplayPort 1.4a (DP Alt Mode over USB-C) |
| Audio Output | HDMI Multichannel Audio |
| Max Simultaneous Displays | Up to 4 (1× HDMI + up to 3× via USB-C) |
| Operating System | |
| OS | NVIDIA® DGX™ OS (pre-installed) |
| AI Software Stack | NVIDIA AI software stack pre-installed — optimised tools, libraries, frameworks, and pre-trained model support |
| Dimensions, Weight & Power | |
| Dimensions (L × W × H) | 150 × 150 × 50.5 mm (~1.14L) |
| Weight | 1.2 kg |
| Power Supply | 240 W |
| GB10 TDP | 140 W |
| Multi-Unit AI Clustering | |
| Cluster Interface | ConnectX-7 (QSFP — 200 Gbps) |
| Max Cluster Size | 2 units |
| Combined AI Performance | 2 PFLOP FP4 (2× DGX Spark) |
| Max Clustered Model Size | Up to 405 billion parameters (2× 128 GB unified memory) |
| QSFP Cable | Sold separately |
| AI Superchip | NVIDIA GB10 Grace Blackwell |
|---|---|
| AI Performance | 1 PetaFLOP (FP4) |
| Unified Memory | 128 GB LPDDR5x |
| Model Capacity | Up to 200B params |
| AI Storage | 4 TB NVMe |
| AI Networking | 10 GbE, ConnectX-7 200GbE, Wi-Fi 7 |
| AI CPU | 20-core Arm (Grace) |
| AI Operating System | NVIDIA DGX OS |
| AI Form Factor | Mini |
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