
HIDevolution MSI Titan 18 HX Dragon Edition Draco Epic A2WJ 18″ UHD+ 240Hz Mini LED, 2.7 GHz Ultra 9-290HX Plus
September 17, 2026
ASUS Ascent GX10 AI Supercomputer, DGX Spark, NVIDIA GB10 Superchip, 128GB LPDDR5x, 1TB PCIe Gen5 NVMe SSD
September 17, 2026NVIDIA DGX Spark Personal AI computer – 10 Cortex-X925 + 10 Cortex-A725 Arm, 128 GB LPDDR5x, 4 TB NVME.M2 SSD
$3,880.00
- Linux-based, fully integrated AI workstation pre-optimized for AI development, fine-tuning, and inference.
- Built on NVIDIA GB10 Grace Blackwell Superchip
- NVIDIA Blackwell GPU with fifth-generation Tensor Core technology
- NVIDIA Grace CPU with 20-core high-performance Arm architecture
- Up to 1 petaFLOP1 of AI performance using FP4
- 128 GB of coherent, unified system memory
- Support for up to 200 billion parameter2 models
- NVIDIA ConnectX networking to link two systems to work with models up to 405 billion parameters
- 4 TB of NVMe storage
- Compact desktop form factor

Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX Sparkâ„¢ delivers one petaFLOP1 of AI performance in a power-efficient, compact form factor. With the NVIDIA AI software stack preinstalled and 128 GB of memory, developers can prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, NVIDIA, Google, Qwen and others with up to 200 billion parameters locally.
1. Theoretical FP4 TOPS using the sparsity feature.
See how NVIDIA DGX Spark is sparking excitement across the AI community. Watch researchers, startups, and innovators unbox the power to prototype, fine-tune, and deploy large AI projects right from their desktops.

Experience up to 1 petaFLOP of AI performance at FP4 precision with the NVIDIA Grace Blackwell architecture.

Run AI development and testing workloads with AI models up to 200 billion parameters at your desktop with a large, unified system memory.

High-performance NVIDIA ConnectXâ„¢ networking enables the connection of two NVIDIA DGX Spark systems to work with AI models of up to 405 billion parameters.

Utilize a full-stack solution for generative AI workloads, encompassing NVIDIA tools, frameworks, libraries, and pre-trained models including NVIDIA NIM.
Delivering the power of an AI supercomputer in a desktop-friendly size, NVIDIA DGX Spark is ideal for AI developer, researcher, and data scientist workloads.





NVIDIA DGX Spark software stack accelerates AI and deep learning workloads while streamlining prototyping and development. It provides a scalable foundation for AI initiatives, enabling developers to harness NVIDIA’s powerful infrastructure to drive innovation and achieve transformative results.

| Brand | NVIDIA |
|---|---|
| Model | DGX Spark Founders Edition |
| Part Number | 940-54242-0000-000 |
| Type | Gaming & Entertainment |
|---|---|
| Usage | Consumer |
| Processor | 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm |
| Processor Main Features | 64 bit 20-Core Processor |
| Memory | 128 GB LPDDR5x, unified system memory |
| Storage | Up to 4 TB NVME.M2 with self-encryption |
| Graphics | NVIDIA Blackwell Architecture |
| Power Supply | 240W |
| Operating System | NVIDIA DGX OS |
| CPU Type | 20-core Arm,10 Cortex-X925 + 10 Cortex A725 |
|---|
| Memory Capacity | 128GB LPDDR5x |
|---|
| SSD | 4TB NVMe |
|---|
| Optical Drive Type | No |
|---|
| LAN Speed | 10Gbps |
|---|---|
| WLAN | 802.11be Wireless LAN |
| WiFi Generation | Wi-Fi 7 |
| Bluetooth | Bluetooth 5.4 |
| Video Ports | 1 x HDMI 2.1a |
|---|---|
| Rear USB | 4 x USB Type-C |
| RJ45 | 1 port |
| Dimensions (H x W x D) | 1.99″ x 5.91″ x 5.91″ |
|---|---|
| Weight | 2.65 lbs. |




