NVIDIA DGX Spark Founder’s Edition | 20-core Arm CPU | 128 GB LPDDR5x | 4 TB NVMe | NVIDIA DGX OS | 1-year limited warranty
- NVIDIA Grace Blackwell Architecture
- NVIDIA GB10 Grace Blackwell Superchip, up to 1 petaFLOP AI (FP4)
- 20-core Arm (10 Cortex-X925 + 10 Cortex-A725 CPU)
- 128 GB LPDDR5x unified system memory
- 4 TB NVMe M.2 SSD, self-encrypting
- NVIDIA DGX OS (Linux-based environment optimized for AI workloads)
- 1.2 kg Weight
- 1-year limited warranty
Free Shipping
Zero delivery charges, maximum convenience.
If You Have Any Query,
Please Contact Us
Our Sales Specialist
Name: Anjalina
Physical Store Available
100% Genuine
24/7 Support
Description
NVIDIA GPU, CPU, Networking, and AI Software Technologies
NVIDIA GB10 Superchip
Experience up to 1 petaFLOP of AI performance at FP4 precision with the NVIDIA Grace Blackwell architecture.
128 GB of Coherent Unified System Memory
Run AI development and testing workloads with AI models up to 200 billion parameters at your desktop with a large, unified system memory.
NVIDIA ConnectX Networking
High-performance PNY NVIDIA DGX Spark ConnectX™ networking enables the connection of two NVIDIA DGX Spark systems to work with AI models of up to 405 billion parameters.
NVIDIA AI Software Stack
Utilize a full-stack solution for generative AI workloads, encompassing NVIDIA tools, frameworks, libraries, and pre-trained models including NVIDIA NIM.
Workloads
Accelerate All AI Workloads
Delivering the power of an AI supercomputer in a desktop-friendly size, PNY NVIDIA DGX Spark is ideal for AI developer, researcher, and data scientist workloads.
Prototyping
Develop, test, and validate AI models and applications.
With the NVIDIA AI software stack, PNY NVIDIA DGX Spark provides the platform for developers to create, test, and validate AI models and AI-augmented applications and solutions. For final tuning or deployment, conveniently evaluate work for eventual migration to NVIDIA DGX cloud or other NVIDIA accelerated data centers or cloud infrastructures.
Fine-Tuning
Fine-tune AI models up to 70 billion parameters.
Improve the performance of pre-trained models by fine-tuning on PNY NVIDIA DGX Spark. With 128GB of unified system memory, fine-tune models up to 70 billion parameters to customize AI models and solutions for specific needs and use cases.
Inference
Test, validate, and inference with AI models up to 200 billion parameters.
Fifth-generation Tensor Cores with support for FP4 deliver up to 1 petaFLOP of AI computing performance, combined with 128GB of system memory, accelerate inference of state-of-the-art AI models to test, validate and deploy from your PNY NVIDIA DGX Spark
Data Science
High-performance data science at your desk.
PNY NVIDIA DGX Spark’s combination of 128GB of unified memory and 1 petaFLOP of parallel throughput maximizes performance of large, computationally complex data analytics and machine learning workflows at your desk.
Edge Applications
Develop edge applications with NVIDIA AI frameworks, including Isaac™, Metropolis, and many others.
PNY NVIDIA DGX Spark offers an exceptional platform for developing robotics, smart city, and computer vision solutions. NVIDIA frameworks include Isaac, Metropolis, and Holoscan. These frameworks and tools enable developers to take advantage of the power of PNY NVIDIA DGX Spark to quickly develop edge applications.
| Architecture | NVIDIA Grace Blackwell |
| GPU | NVIDIA Blackwwell 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 | 1 PFLOPS |
| System Memory | 128 GB LPDDR5x, unified system memory |
| Memory Interface | 256-bit |
| Memory Bandwidth | 273 GB/s |
| Storage | 4 TB NVME.M2 with self-encryption |
| USB | 4x USB TypeC |
| Ethernet | 1x RJ-45 connector 10 GbE |
| NIC | ConnectX-7 Smart NIC |
| Wi-Fi | WiFi 7 |
| Bluetooth | BT 5.3 w/LE |
| Audio-output | HDMI multichannel audio output |
| Power Consumption | TBD |
| Display Connectors | 1x HDMI 2.1a |
| NVENC | NVDEC | 1x | 1x |
| OS | NVIDIA DGX™ OS |
| System Dimensions | 150 mm L x 150 mm W x 50.5 mm H |
| System Weight | 1.2 kg |
| Warranty | 1-year limited warranty |
| Question | Who should use NVIDIA DGX Spark? |
| Answer | NVIDIA DGX Spark is ideal for AI researchers, data scientists, developers, universities, and businesses working with AI models and machine learning applications. |
| Question | What are the main applications of NVIDIA DGX Spark? |
| Answer | It can be used for AI model training, inference, deep learning, generative AI, computer vision, natural language processing (NLP), and data analytics. |
| Question | Can NVIDIA DGX Spark run large AI models locally? |
| Answer | Yes, NVIDIA DGX Spark is designed to handle advanced AI workloads and enables users to develop and run AI models locally. |
| Question | Is NVIDIA DGX Spark suitable for machine learning projects? |
| Answer | Yes, it is specifically built to accelerate machine learning and deep learning workflows using NVIDIA's AI computing platform. |
| Question | Does NVIDIA DGX Spark support NVIDIA AI software? |
| Answer | Yes, it is optimized for NVIDIA AI frameworks, libraries, and development tools, providing a seamless AI development experience. |
| Question | Can NVIDIA DGX Spark be used for AI research and education? |
| Answer | Yes, universities, research institutions, and AI training centers can use NVIDIA DGX Spark for AI education, experimentation, and research projects. |
| Question | Is NVIDIA DGX Spark suitable for generative AI applications? |
| Answer | Yes, NVIDIA DGX Spark can support generative AI workloads, including large language models (LLMs), image generation, and AI-powered applications. |
| Question | What are the advantages of NVIDIA DGX Spark over a standard workstation? |
| Answer | NVIDIA DGX Spark offers specialized AI acceleration, optimized software support, and significantly faster performance for AI and machine learning tasks compared to standard desktop systems. |