
( Brand: Nvidia ), ( Manufacturer Part Number: 735-0301-000 ), ( Network Connectivity: Wired-ethernet ), ( Ram Size: 128 Gb ), ( Network Management Type: Unmanaged ), ( Processor Type: Nvidia Gb10 Grace Blackwell Superchip ), ( Memory Type: Ddr5x ), ( Network Type: Ethernet ), ( Form Factor: Mini Server ), ( Type: Server ), ( Unit Type: Unit ), ( Interface: Nvme ), ( Product Line: Enterprise )
The NVIDIA DGX Station 480, model number 735-0301-000, is a powerful and versatile deep learning system designed for data scientists, researchers, and developers. This server comes equipped with 8 NVIDIA Tesla V100 GPUs, each with 5,120 CUDA cores and 16GB of HBM2 memory, providing a total of 640 CUDA cores and 128GB of GPU memory.
The DGX Station 480 also includes a 4TB NVMe PCIe Solid State Drive (SSD) for fast data storage and processing. This high-performance SSD offers read and write speeds of up to 2.4GB/s and 1.9GB/s, respectively, ensuring that data can be accessed quickly and efficiently.
This server is built with the latest NVIDIA GRACE (GPU-accelerated computing platform for AI and HPC) technology, which includes CUDA, NCCL, and NCCL-RoCm libraries for optimized deep learning and high-performance computing workloads. The system is also equipped with 128GB of system memory, which allows for large data sets to be loaded into memory for faster processing times.
The DGX Station 480 supports various deep learning frameworks, including TensorFlow, PyTorch, and MXNet, and can be easily integrated with popular data science tools such as Jupyter Notebook and TensorBoard. The server also includes a built-in GPU-accelerated MPI (Message Passing Interface) stack, allowing for distributed deep learning training on large datasets.
The system comes in a sleek and compact black design, with dimensions of 16.2 x 12.3 x 4.3 inches (41.1 x 31.2 x 10.9 cm) and a weight of approximately 46.3 lbs (20.9 kg). The server also includes built-in redundant power supplies, ensuring uninterrupted operation, and a quiet, thermally-optimized cooling system that keeps the GPUs running at optimal temperatures.
In summary, the NVIDIA DGX Station 480 is a high-performance deep learning system designed for data-intensive workloads. It includes 8 NVIDIA Tesla V100 GPUs, a 4TB NVMe PCIe SSD, 128GB of system memory, and support for various deep learning frameworks and tools. With its powerful GPUs, large storage capacity, and quiet cooling system, the DGX Station 480 is an excellent choice for data scientists, researchers, and developers looking to accelerate their deep learning workflows.
The NVIDIA DGX Station 200, model number 735-0301-000, is a powerful AI computing system designed for deep learning and data analytics workloads. It comes with 4TB of NVMe SSD storage and 128GB of HBM2 memory, making it an ideal choice for businesses and researchers who require high-performance computing resources. Here are some pros and cons of buying this server:
Pros:1. High Performance: This server is powered by eight NVIDIA Tesla V100 GPUs, which deliver exceptional performance for deep learning, data analytics, and other AI workloads.
2. Large Memory Capacity: With 128GB of HBM2 memory, this server can handle large datasets and complex models, making it an excellent choice for research institutions and data-intensive businesses.
3. NVMe SSD Storage: The 4TB NVMe SSD storage provides fast read and write speeds, which is crucial for AI workloads that require quick access to data.
4. Easy to Use: The DGX Station 200 comes with NVIDIA's CUDA-X AI software stack, which simplifies the deployment and management of AI applications.
5. Scalability: The DGX Station 200 can be easily expanded by adding more GPUs or nodes, making it a cost-effective solution for businesses with growing AI workloads.
Cons:1. High Cost: The DGX Station 200 is an expensive server, and it may not be an affordable option for small businesses or startups.
2. Limited Connectivity: This server has limited network connectivity options, which may not be suitable for businesses that require high-speed data transfer between multiple servers or locations.
3. Power Consumption: The DGX Station 200 consumes a significant amount of power, which can increase operating costs for businesses with large data centers.
4. Size and Weight: This server is large and heavy, which can make it difficult to transport or install in small spaces.
In conclusion, the NVIDIA DGX Station 200 is a powerful and versatile server designed for high-performance AI computing. Its large memory capacity, fast storage, and ease of use make it an excellent choice for research institutions, data-intensive businesses, and other organizations that require exceptional computing power. However, its high cost, limited connectivity, power consumption, and size may not make it the best option for all businesses. If you have the budget and the need for high-performance computing resources, then the DGX Station 200 is an excellent investment. Otherwise, you may want to consider other, more affordable servers or cloud-based solutions.
Recommendation: If you require high-performance computing resources for AI workloads and have the budget for it, then the NVIDIA DGX Station 200 is a great investment. It offers exceptional performance, large memory capacity, and easy-to-use software, making it an excellent choice for research institutions, data-intensive businesses, and other organizations that require exceptional computing power. However, if you have limited budget or require more connectivity options, then you may want to consider other, more affordable servers or cloud-based solutions.
This unit has never been opened, deployed, or registered and remains in original manufacturer packaging. NVIDIA DGX Spark 4TB AI Server / Workstation NEW Factory Sealed. It delivers data-center-class performance in a compact form factor ideal for research labs, enterprise AI teams, and advanced development environments. The DGX Spark is designed for high-performance artificial intelligence, deep learning, and accelerated computing workloads.
Up for sale is a brand-new, factory-sealed NVIDIA DGX Spark enterprise AI system.