NVIDIA P4242 Dgx Spark Gb Unified Tb Nvme 128
( Brand: Nvidia ), ( Manufacturer Part Number: P4242 ), ( Model: NVIDIA DGX SPARK P4242 ), ( Network Management Type: Unmanaged ), ( Item Length: 5.9 In ), ( Processor Type: Grace Blackwell Gb10 ), ( Memory Type: Lpddr5x Unified ), ( Supported Wireless Protocols: Wi-fi 7, Bluetooth 5.4 ), ( Form Factor: Small Form Factor / Mini Desktop ), ( Unit Type: Unit ), ( Manufacturer Warranty: 2 Years, If Registered ), ( Item Height: 2 In ), ( Connector Type: Rj-45, Usb-c, Hdmi 2.1a, Power Adapter Input ), ( Device Connectivity: Usb-c 4, Hdmi 2.1a, Rj-45 10 Gbe, Wi-fi 7 ), ( Raid Levels: None / N/a ), ( Network Connectivity: Wired-ethernet ), ( Ram Size: 128 Gb ), ( Materials Sourced From: Taiwan ), ( Processor Speed: Up To 3.3 Ghz ), ( California Prop 65 Warning: Not Applicable / No Known Hazards ), ( Network Type: 10 Gbe Rj-45 Connectx-7 Smart Nic ), ( Type: Server ), ( Maximum Ram Capacity: 128 Gb Unified Memory ), ( Interface: Nvme M.2, Usb-c, Hdmi 2.1a ), ( Product Line: Dgx Spark )
Review NVIDIA Dgx Spark 128 Gb Unified Tb Nvme New In Hand
The NVIDIA DGX Station P4242 is a powerful and compact AI training system designed for data scientists, researchers, and developers. It is equipped with the latest NVIDIA GPUs and NVMe storage to deliver unmatched performance for deep learning and high-performance computing workloads.
At its heart is the NVIDIA Tesla P40 GPU, which boasts 24 GB of HBM2 (High Bandwidth Memory) and 3584 CUDA cores. This GPU is optimized for deep learning and other AI workloads, delivering up to 13.5 TFLOPS of FP16 performance. With a total of eight Tesla P40 GPUs, the DGX Station P4242 offers an impressive 107.2 TFLOPS of FP16 performance, making it an ideal choice for large-scale AI projects.
This system comes with 128 GB of unified NVMe storage, which is integrated with the GPUs to provide lightning-fast data access. The NVMe storage is not only faster than traditional hard drives or SSDs, but it also reduces the latency associated with transferring data between the CPU and GPU. This is particularly important for deep learning workloads, which require large amounts of data to be processed quickly.
The DGX Station P4242 also includes a range of other features to make AI development easier and more efficient. It comes with NVIDIA's CUDA-X AI software stack, which includes libraries for deep learning, data processing, and other AI workloads. It also supports popular deep learning frameworks such as TensorFlow, PyTorch, and MXNet.
The system is easy to set up and use, with a user-friendly web interface that allows you to monitor GPU utilization, temperature, and other system metrics. It also includes built-in support for remote access, so you can work on your projects from anywhere.
In summary, the NVIDIA DGX Station P4242 is a powerful and versatile AI training system that is ideal for data scientists, researchers, and developers who need to process large amounts of data quickly and efficiently. With its eight Tesla P40 GPUs, 128 GB of unified NVMe storage, and support for popular deep learning frameworks, it offers unmatched performance for deep learning and other AI workloads. Whether you're working on a research project or developing a new AI application, the DGX Station P4242 is the perfect choice.
The NVIDIA DGX Station P4242 with 128GB Unified NVMe SSD is a high-performance artificial intelligence (AI) and deep learning system designed for data scientists, researchers, and engineers. Here are some pros andcons of buying this system:
Pros:1. High Performance: Equipped with eight NVIDIA A100 GPUs, this system delivers exceptional performance, making it an ideal choice for large-scale AI and deep learning workloads.
2. Unified NVMe SSD: The 128GB Unified NVMe SSD provides fast read and write speeds, reducing data transfer times and enhancing overall system performance.
3. Easy Setup and Integration: The DGX Station comes pre-installed with CUDA,cuDNN,TensorFlow,PyTorch, and other popular AI frameworks, making it easy to get started with your projects.
4. Compact Design: Despite its powerful hardware, the DGX Station has a compact design, allowing it to fit in most workspaces.
5. Remote Management: The NVIDIA GPUs Graviton2 Arm-based CPU enables remote management and monitoring of the system, making it convenient for users to manage their workloads from anywhere.
Cons:1. High Cost: The NVIDIA DGX Station P4242 is a high-end system, and its price reflects its powerful hardware and advanced features.
2. Limited Upgradeability: The system's hardware is not easily upgradable, meaning that users may need to replace the entire system if they require more processing power or memory.
3. Power Consumption: The DGX Station is a power-hungry system, and users may need to ensure they have a reliable power supply to avoid power outages.
4. Limited Connectivity: The system has limited connectivity options, with only two Ethernet ports, making it less suitable for users who require extensive network connectivity.
In conclusion, the NVIDIA DGX Station P4242 with 128GB Unified NVMe SSD is a powerful and compact AI and deep learning system that delivers exceptional performance. Its easy setup and integration, high-speed storage, and popular AI frameworks make it an ideal choice for data scientists, researchers, and engineers. However, its high cost, limited upgradeability, power consumption, and limited connectivity options may be deterrents for some users.
If you are looking for a high-performance AI and deep learning system and have the budget to accommodate it, the NVIDIA DGX Station P4242 is an excellent choice. However, if you require more upgradeability, extensive network connectivity, or a lower cost, there are other options available on the market. Ultimately, the decision depends on your specific needs and budget.
Details:
Edge Computing: Its used in robotics or industrial settings where they need supercomputer power to process video/sensors but don't have space for a server rack. Technical Specs for your curiosity: CPU/GPU: NVIDIA Grace Blackwell Super chip GB10 It combines an ARM CPU and a GPU on one die. Power: It runs on a 48V external power brick similar to high-end networking gear. Fine-Tuning model's: Developers can teach an AI specific knowledge like a law firms case history or medical database without needing to rent expensive cloud GPS.
This keeps all their data private and secure within office walls no sent to the cloud. Storage: 4TB NVMe SSD That's what the Spark 4 TB on label means. Private AI Hosting: A business can run a Shortcut-like assistant like Llama 3 or Deep Seek entirely offline on this box.
part #: p4242 prices
- $1599.00-$3849.95
specifications chompiserver:
- brand: Nvidia
- mpn: P4242
- model: Nvidia Dgx Spark P4242
- network management type: Unmanaged
- item length: 5.9 In
- processor type: Grace Blackwell Gb10
- memory type: Lpddr5x Unified
- supported wireless protocols: Wi-fi 7, Bluetooth 5.4
- form factor: Small Form Factor / Mini Desktop
- unit type: Unit
- manufacturer warranty: 2 Years, If Registered
- item height: 2 In
- connector type: Rj-45, Usb-c, Hdmi 2.1a, Power Adapter Input
- device connectivity: Usb-c 4, Hdmi 2.1a, Rj-45 10 Gbe, Wi-fi 7
- raid levels: None / N/a
- network connectivity: Wired-ethernet
- ram size: 128 Gb
- materials sourced from: Taiwan
- processor speed: Up To 3.3 Ghz
- california prop 65 warning: Not Applicable / No Known Hazards
- network type: 10 Gbe Rj-45 Connectx-7 Smart Nic
- type: Server
- maximum ram capacity: 128 Gb Unified Memory
- interface: Nvme M.2, Usb-c, Hdmi 2.1a
- product line: Dgx Spark
general chompiserver:
- condition: New
- Enterprise Networking, Servers > Servers, Clients Terminals > Computer Servers
seller chompiserver:
- rating: 100.0%
- # reviews: 645
- city: Toledo, Ohio
payments chompiserver:
- credit card: Visa
- wallet: Apple-pay
- other
shipping chompiserver:
- class: Expedited
- type: Calculated
- transit: 3-10 Days
- cost: $0.00
- carrier: USPS
- service: USPS Priority Mail Medium Flat Rate Box
offer chompiserver:
- started: November 19, 2025
- options: Ship-to-home
- sold: 0
- quantity: 1
- availability: In Stock
returns chompiserver:
- policy: Returns Accepted
- paid by: Buyer
- method: Money back
- time: 30 Days
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