NVIDIA DGX Spark - NVIDIA GB10 Grace Blackwell Superchip, 128GB LPDDR5x, 4TB NVMe M.2 SSD
81% of respondents would recommend this to a friend
XCD 18856
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Delivering up to 1 petaflop performance from a power-efficient, compact form factor.
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What Stands Out
Product Details
| Operating System | NVIDIA DGX™ OS |
| Specific Uses For Product | Business, Gaming |
| Personal Computer Design Type | Computer Tower |
| Color | Brown |
| Hard Disk Description | SSD |
| Hardware Interface | HDMI, USB |
| Item Dimensions | 9.45 x 9.45 x 5.7 inches (24 x 24 x 14.5 cm) |
| Video Output Interface | 4x USB Type-C, HDMI |
| Hard Disk Interface | PCIE x 4 |
| Cooling Method | Fan |
| Video Output | HDMI, USB Type-C |
| Cache Memory Installed Size | 128 GB |
| Memory Storage Capacity | 128 GB |
| RAM Memory Installed | 128 GB |
| RAM Memory Technology | LPDDR5 |
| Ram Memory Maximum Size | 128 GB |
| RAM Type | DDR5 RAM |
| Processor Series | 6-core ARM Cortex-A78AE v8.2 |
| Processor Count | 20 |
| Total Usb Ports | 4 |
| Number of Component Outputs | 6 |
| Connectivity Technology | Ethernet, HDMI, USB |
| Brand | PNY |
| Model Number | NVDGXSPARK-PB |
| Model Name | NVIDIA DGX Spark™ |
| Built-In Media | x1 NVIDIA DGX Spark, x1 Power Supply, x1 Quick Start Card, x1 Support Card |
| Processor Brand | NVIDIA |
| Unit Count | 1 Count |
| UPC | 751492799186 |
| Manufacturer | PNY |
| Graphics Description | Dedicated |
| Graphics Coprocessor | NVIDIA Blackwell GPU |
| Graphics Card Ram | 128 GB |
| Graphics Ram Type | DRAM |
| Graphics Card Interface | Integrated |
| Display Resolution Maximum | 3840x2160 |
| Aspect Ratio | 16:9 |
| Resolution | 3840 x 2160 |
| Native Resolution | 3840 x 2160 |
| Human-Interface Input | Keyboard |
| Keyboard Description | Wired, Membrane, Full-size, QWERTY Layout |
| Keyboard Layout | QWERTY |
| CPU Model | 6-core ARM Cortex-A78AE v8.2 |
| Cache Size | 128 GB |
| Graphics Card Description | Dedicated |
| Personal computer design type | Computer Tower |
| Ram Memory Installed Size | 128 GB |
What's in the box
x1 NVIDIA DGX Spark
x1 Quick Start Card
x1 Support Card
x1 Power Supply
Who Should Buy?
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AI Researchers
Ideal for researchers developing complex AI models that require high computing power and extensive memory resources.
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Data Scientists
Best suited for data scientists working with large datasets needing fast processing and low latency during analysis.
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Gaming Developers
Perfect for game developers requiring robust graphics performance and quick load times for immersive gaming experiences.
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Casual Users
Not suitable for casual users looking for basic computing performance for everyday tasks or web browsing.
Product Description
Customer Questions & Answers
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Question:
What are the main features of the NVIDIA DGX Spark?
Answer: The NVIDIA DGX Spark features the powerful NVIDIA GB10 Grace Blackwell Superchip paired with 128GB LPDDR5x memory and a high-speed 4TB NVMe M.2 SSD. This architecture allows for unparalleled performance in AI training and data analytics. It is designed to handle massive workloads, effectively streamlining machine learning initiatives. For instance, data scientists can deploy complex models rapidly, enhancing productivity in research or production environments. -
Question:
How does the NVIDIA Grace Blackwell Superchip improve computational performance?
Answer: The NVIDIA Grace Blackwell Superchip is engineered to maximize computational throughput, utilizing cutting-edge architecture to dramatically accelerate processing times. This chip supports advanced tasks such as deep learning, providing essential power for real-time analysis of large datasets. For example, in a laboratory setting, researchers can significantly reduce the time taken for simulations, which can drastically speed up project timelines. -
Question:
What are the benefits of having 128GB LPDDR5x memory?
Answer: Having 128GB LPDDR5x memory in the NVIDIA DGX Spark contributes to improved responsiveness and the ability to handle multiple demanding tasks simultaneously. This high-performance memory allows for faster data access and processing, essential for applications like graphics rendering and extensive simulations. Users in fields such as AI research will find that they can efficiently run several models without compromising speed or performance. -
Question:
What role does the 4TB NVMe M.2 SSD play in the DGX Spark?
Answer: The 4TB NVMe M.2 SSD in the NVIDIA DGX Spark serves as a critical storage solution, allowing for rapid data retrieval and storage capabilities. This high-speed SSD dramatically reduces the time needed for data loading and processing, making it ideal for intensive applications such as big data analytics. Data engineers and developers can benefit from this capability, enabling them to handle larger datasets and execute analytics tasks more efficiently. -
Question:
Is the NVIDIA DGX Spark suitable for small businesses?
Answer: While the NVIDIA DGX Spark is optimized for high-demand environments like research facilities or data centers, small businesses can also leverage its capabilities for specific use cases such as intensive machine learning projects or large-scale data processing. By adopting this technology, small enterprises can gain a competitive edge in data-driven decision-making and analytics, propelling growth and innovation. -
Question:
What industries can benefit from the NVIDIA DGX Spark?
Answer: The NVIDIA DGX Spark is versatile and can significantly benefit industries such as healthcare, finance, automotive, and research. In healthcare, it can accelerate drug discovery through AI simulations, while in finance, it aids in fraud detection using advanced analytics. As organizations in these sectors handle vast volumes of data, this technology empowers them to extract valuable insights efficiently. -
Question:
How is the NVIDIA DGX Spark configured for optimal performance?
Answer: The NVIDIA DGX Spark is configured with a focus on high-performance computing, featuring state-of-the-art cooling systems and optimized power management. This configuration allows the system to run at maximum efficiency under heavy workloads, making it ideal for computationally intensive tasks such as AI model training and data mining. Organizations that rely on such capabilities can harness the full power of this system for impactful results. -
Question:
What software is compatible with the NVIDIA DGX Spark?
Answer: The NVIDIA DGX Spark is compatible with a myriad of popular AI and machine learning frameworks, including TensorFlow, PyTorch, and Numpy. This broad compatibility allows developers to integrate existing workflows seamlessly. For instance, AI researchers can implement their models and training routines without extensive modifications, facilitating rapid deployments and experimentation. -
Question:
What makes NVIDIA DGX Spark different from other workstations?
Answer: What sets the NVIDIA DGX Spark apart from traditional workstations is its focus on AI and machine learning applications. Unlike standard PCs, this system combines high-performance hardware with advanced AI optimization, enabling seamless handling of demanding workloads. For instance, companies might use it to accelerate research and development efforts, achieving results that would take considerably longer with conventional setups. -
Question:
Where can I buy the NVIDIA DGX Spark in Montserrat?
Answer: You can buy the NVIDIA DGX Spark at Ubuy, where you will find a variety of configurations and options tailored to your needs. Ubuy is a reliable platform offering Montserrat access to high-end technology products, including this powerful superchip workstation. Their platform allows you to explore detailed product specifications and reviews, ensuring you make an informed purchase decision.
PNY Towers NVDGXSPARK-PB Editorial Review
NVIDIA DGX Spark - NVIDIA GB10 Grace Blackwell Superchip, 128GB LPDDR5x, 4TB NVMe M.2 SSD works as expected in maintaining high performance for business and gaming tasks. However, users have reported experiencing thermal throttling unless the device is placed in a cool environment, which is an important consideration for optimal usage. Many appreciate its all-in-one standalone form factor, though it's noted that the throughput is slower compared to dedicated workstation graphics cards. With various connectivity options including HDMI and USB Type-C, and an impressive maximum display resolution of 3840x2160, it stands out in the market.
Customer Reviews & Ratings
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5 Star
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51%
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Pros
- All-in-one standalone form factor is convenient
- High display resolution of 3840x2160
- Multiple connectivity options available
- 128GB RAM supports demanding applications
- Effective cooling with fan design
Cons
- Performance may be affected in high temperatures
Platform Trust & Buyer Confidence
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XCD 18856
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Features & Benefits
- Achieve up to 1 petaflop of AI performance.
- Compact and power-efficient design ideal for AI workloads.
- Comes with 128GB of memory for handling large AI models.
- Preinstalled NVIDIA AI software stack for easy deployment.
- Supports models of up to 200 billion parameters.
- Seamless deployment options to data center or cloud.
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