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NVIDIA DGX Spark Supercomputer / AI Workstation

Compact AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip

The NVIDIA DGX Spark is a compact, integrated AI system delivering up to 1 PFLOP of AI compute in a desktop form factor. Built around the GB10 Grace Blackwell Superchip, it pairs 20 Arm CPU cores with 128 GB of unified LPDDR5X memory and a Blackwell-class GPU with 5th-gen Tensor Cores — designed for LLM inference, model fine-tuning, computer vision and generative AI development on your desk.

1 PFLOP FP4 AI compute

NVIDIA Blackwell GPU with 5th-generation Tensor Cores delivers up to 1 PFLOP of theoretical FP4 AI performance with sparsity for cutting-edge model inference and training.

128 GB unified memory

256-bit LPDDR5X unified memory architecture (~273 GB/s bandwidth) allows the CPU and GPU to share a single coherent memory pool — eliminating data-copy overhead for large models.

Massive model capacity

Run up to approximately 200B-parameter models on a single system, with support for multi-system scaling for even larger workloads.

Compact desktop form factor

Approximately 150 × 150 × 50.5 mm and 1.2 kg with a 240W external power supply — full AI workstation capability without a full-size tower.

Specifications at a glance

AI Processor
NVIDIA GB10 Grace Blackwell Superchip
CPU
20-core Arm: 10 × Cortex-X925 + 10 × Cortex-A725
GPU
NVIDIA Blackwell, 6144 CUDA Cores, 5th-gen Tensor Cores
AI Performance
Up to 1 PFLOP FP4 (with sparsity)
Memory
128 GB LPDDR5X unified, 256-bit, ~273 GB/s
Storage
4 TB NVMe M.2 SSD, self-encrypting
Network
10 GbE Ethernet + NVIDIA ConnectX-7 SmartNIC
Wireless
Wi-Fi 7, Bluetooth 5.4
Display
HDMI 2.1a; DisplayPort through USB-C
USB
4 × USB Type-C
OS Support
NVIDIA DGX OS / Ubuntu Linux; Windows where supported
AI Frameworks
CUDA, PyTorch, TensorRT-LLM, NVIDIA AI stack
Form Factor
~150 × 150 × 50.5 mm, ~1.2 kg
Power Supply
240W external
Security
Secure Boot, encrypted storage, platform security
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