NVIDIA DGX Spark Personal AI Supercomputer

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NVIDIA DGX Spark Personal AI Supercomputer, GB10 Blackwell Superchip, 4TB SSD, 128GB LPDDR5x, ConnectX7, 1000 TOPS

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Models : 940-54242-0000

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NVIDIA DGX Spark Personal AI Supercomputer

Powered by GB10 Grace Blackwell Superchip

The NVIDIA DGX Spark AI Supercomputer is a next-generation desktop AI workstation designed for developers, researchers, and enterprises that demand datacenter-level AI performance in a compact form factor. Built on the advanced GB10 Grace Blackwell Superchip, this system delivers unparalleled AI processing power, enabling you to develop, test, and deploy large-scale AI models directly from your desk.

NVIDIA DGX Spark

With up to 1 PetaFLOP of AI performance, massive unified memory, and enterprise-grade networking, DGX Spark transforms local AI development—eliminating the need for constant cloud dependency while accelerating innovation.

Key Features

Extreme AI Performance

✅Up to 1 PFLOP (FP4) AI compute Performance
✅Built on NVIDIA Blackwell GPU architecture
✅5th Gen Tensor Cores for accelerated AI workloads
✅Ideal for deep learning, LLM training, and inference

Massive Unified Memory

✅128GB LPDDR5x unified memory
✅Shared across CPU & GPU for faster processing
✅Run AI models up to 200B parameters locally

Grace Blackwell Superchip Architecture

✅20-core Arm CPU (10 Cortex-X925 + 10 Cortex-A725)
✅ Integrated CPU + GPU via high-speed interconnect
✅ Eliminates bottlenecks and improves efficiency

High-Speed Storage

✅ 4TB NVMe SSD (self-encrypted)
✅ Store massive datasets, models, and AI pipelines securely

Advanced Connectivity

✅ NVIDIA ConnectX-7 Smart NIC
✅ 10Gb Ethernet + high-speed networking support
✅ Scale performance by connecting multiple systems

Built for AI Development & Enterprise Use

The NVIDIA DGX Spark is not just hardware—it’s a complete AI development platform. It comes with a pre-configured AI software ecosystem, allowing you to:

  • Train & fine-tune machine learning models
  • Build AI agents and applications
  • Deploy solutions to cloud or datacenter environments
  • Run high-performance inference workloads

Its unified memory architecture allows developers to run workloads that traditionally required expensive multi-GPU setups.

Workflows, Models & AI Tools

The NVIDIA DGX Spark is built to accelerate AI development from day one, providing a complete ecosystem of software, tools, and frameworks required to run advanced workloads seamlessly. Whether you’re building machine learning models, deploying AI applications, or experimenting with generative AI, DGX Spark offers a ready-to-use environment designed for speed and efficiency.

Workflows, Models & AI Tools

Developers have the flexibility to install and run their preferred frameworks and toolchains, while also benefiting from NVIDIA’s optimized AI ecosystem. This includes access to advanced solutions like NVIDIA NIM, which simplifies model deployment, as well as AI Blueprints for rapid solution development and AI Workbench for streamlined experimentation and workflow management.

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Architecture NVIDIA Grace Blackwell
GPU NVIDIA Blackwell Architecture
CPU 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
CUDA Cores NVIDIA Blackwell Generation
Tensor Cores 5th Generation
RT Cores 4th Generation
Tensor Performance 1000 AI TOPS
Memory Capacity 128 GB
Memory Type LPDDR5X
Memory Bus 256 Bit
Memory Bandwidth 273 GB/s
Storage Capacity 4TB
Storage Type M.2 PCIe Gen5x4
Connectivity
  • 1 x RJ-45
  • 4 x USB Type-C
Network Connectivity
  • 802.11be Wi-Fi 7
  • Wired 10G LAN
NIC ConnectX-7 Smart NIC
Power Supply 240W
Display Connectors 1 x HDMI 2.1a
NVENC | NVDEC 1x | 1x
Operating System NVIDIA DGX™ OS
System Dimensions 150 (L) x 150 (W) x 50.5 (H) mm
System Weight 1.2 Kg

Frequently Asked Questions

The NVIDIA DGX Spark is designed for AI development, machine learning, and deep learning workloads. It allows users to train, fine-tune, and deploy AI models locally without relying on cloud infrastructure.
DGX Spark delivers up to 1 PetaFLOP (FP4) AI performance, making it one of the most powerful personal AI systems available. It is capable of handling large-scale AI workloads, including generative AI and LLM applications.
Yes, NVIDIA DGX Spark can run large language models locally. With 128GB unified memory, it supports AI models with up to 200 billion parameters, depending on optimization and workload requirements.
The system is powered by the NVIDIA GB10 Grace Blackwell Superchip, which combines a high-performance CPU and GPU in a unified architecture for maximum efficiency and speed.
DGX Spark includes 128GB LPDDR5x unified memory, allowing seamless data sharing between CPU and GPU, which significantly improves AI model training and inference performance.
The system comes with a 4TB NVMe SSD, providing fast data access and enough space for large datasets, AI models, and development environments.
Yes, it includes high-speed networking with ConnectX technology, allowing multiple systems to be connected for scalable AI workloads and distributed computing.
For many workloads, yes. DGX Spark allows local AI development, reducing dependency on cloud platforms, lowering long-term costs, and improving data privacy.

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