NVIDIA DGX™ Spark, built with the NVIDIA GB10 Grace Blackwell Superchip, offers 1 petaFLOP of AI performance in a compact and power-efficient design. It comes preinstalled with the NVIDIA AI software stack and includes 128GB of memory, allowing developers to prototype, fine-tune, and run advanced reasoning AI models—like those from DeepSeek, Meta, and Google—with up to 200 billion parameters locally, and easily deploy them to a data center or cloud.
Get up to 1 petaFLOP of AI performance at FP4 precision with NVIDIA Grace Blackwell architecture.
Run AI development and testing workloads with models up to 200 billion parameters right from your desktop, thanks to large, unified system memory.
Get up to 1 petaFLOP of AI performance at FP4 precision with NVIDIA Grace Blackwell architecture.
Use a full-stack solution for generative AI workloads, including tools, frameworks, libraries, and pretrained models.
NVIDIA DGX Spark delivers the performance of an AI supercomputer in a compact, desk-friendly system. It is purpose-built for AI developers, researchers, and data scientists working on model training, fine-tuning, inference, and data analytics—all on-premises with full data control.
Build, test, and validate AI models faster.
DGX Spark provides a complete GPU-optimized software stack, making it easy for teams to experiment, iterate, and move from concept to production.
Refine large models to fit real-world tasks.
DGX Spark supports fine-tuning models up to 70B parameters, enabling domain-specific results without cloud dependency or long training cycles.
Run high-performance inference locally.
Deploy and evaluate models up to 200B parameters, benefiting from low-latency response times and strong on-prem security for sensitive workloads.
Accelerated analytics and ML at your desk.
Leverage GPU-powered data libraries to speed up feature engineering, ETL pipelines, graph analytics, and end-to-end ML workflows.
Develop and test advanced edge AI solutions.
DGX Spark supports NVIDIA AI frameworks such as Isaac™ (robotics), Metropolis (computer vision), and other industrial-grade toolkits for real-time deployment scenarios.
| PNY Part Number | NVDGXSPARK-PB |
|---|---|
| Architecture | NVIDIA Grace Blackwell |
| GPU | Blackwell Architecture |
| CPU | 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 |
| CUDA Cores | Blackwell Generation |
| Tensor Cores | 5th Generation |
| RT Cores | 4th Generation |
| Tensor Performance | 1,000 AI TOPS |
| System Memory | 128GB LPDDR5x, unified system memory |
| Memory Interface | 256-bit |
| Memory Bandwidth | 273 GB/s |
| OS | DGX OS |
| Storage | 4 TB NVME.M2 with self-encryption |
| USB | 4x USB Type C |
| Ethernet | 10 GbE 1x RJ-45 connector |
| NIC | ConnectX-7 Smart NIC |
| Wi-Fi | Wi-Fi 7 |
| Bluetooth | BT 5.3 |
| Audio output | HDMI® multichannel audio output |
| Power Consumption | TBD |
| Display Connectors | 1x HDMI®™ 2.1a |
| NVENC | NVDEC | 1x | 1x |
| System Dimensions | 150 mm L x 150 mm W x 50.5 mm H |
| System Weight | 1.2 kg |
| Warranty | 1-year limited warranty |
Mediasys is a trusted expert in high-performance servers and AI workstations, with over 25 years of experience in the Middle East. As an official NVIDIA distributor, we provide direct access to cutting-edge GPU technologies. Our in-house team of certified engineers helps you choose, configure, and support the right AI workstation or server for your workflow—with local expertise you can count on.
NVIDIA DGX Spark is a desktop-friendly AI supercomputer built for developers, researchers, and data scientists. It enables fast AI model training, fine-tuning, and inference on-premise.
Yes. DGX Spark can fine-tune models up to 70B parameters and run inference for models up to 200B parameters, making it suitable for GPT-style applications and RAG workflows.
Yes. DGX Spark is available through Mediasys as we are the authorized distributors
It supports NVIDIA Isaac™ and Metropolis frameworks for real-time robotics, automation, computer vision, and smart city applications.
Yes, DGX Spark includes access to NVIDIA AI software, frameworks, and management tools such as NVIDIA Base Command and AI Enterprise (confirm based on SKU).
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