NVIDIA 321-0009-000 Board Ibmfru 13M8429 604 600-50347-0000-305

( Brand: Nvidia ), ( Manufacturer Part Number: 321-0009-000 ), ( Part Type: Board ), ( Unit Type: Unit )

Review NVIDIA Model Board Rev Ibmfru 604 Used

The NVIDIA 321-0009-000 IBM FRST01-3792 GPU Module is a high-performance graphics processing unit (GPU) designed for data center applications. This particular model features the IBM designation ibmfru 13m8429, revision 604, with part number 600-50347-0000-305.

This GPU module is built using NVIDIA's advanced technology, delivering exceptional computing power and graphics capabilities. It's based on the NVIDIA Tesla architecture, which is renowned for its ability to handle complex mathematical calculations, data processing, and high-definition video rendering with ease.

The NVIDIA 321-0009-000 module comes with 2,880 CUDA cores and a boost clock speed of 1055 MHz. It offers a total memory of 4 GB GDDR5, ensuring it can handle large data sets and demanding workloads. Moreover, it comes with an impressive 224-bit memory bus width that guarantees efficient data transfer between the GPU and system memory.

Additionally, this GPU module supports a wide range of interfaces, including PCI Express 3.0 x16, allowing for seamless integration with most data center systems. It is also CUDA and CUDA-Z compatible, making it ideal for scientific, engineering, and artificial intelligence applications that require high computational power and graphics processing capabilities.

This NVIDIA GPU module comes with advanced features like ECC memory, which helps prevent data corruption and improves system stability. It also offers extensive support for various programming environments, including OpenCL, OpenGL, DirectX, and CUDA.

In summary, the NVIDIA 321-0009-000 IBM FRST01-3792 GPU Module is a powerful and versatile solution for data center applications that demand high computational power and graphics capabilities. With its advanced architecture, impressive specifications, and extensive compatibility with various programming environments, this GPU module can help reduce processing times and improve overall system performance.

Product Name: NVIDIA 321-0009-000 board with IBM FRU 13M8429 604 600-50347-0000-305

The NVIDIA 321-0009-000 board with IBM FRU 13M8429 604 600-50347-0000-305 is an NVIDIA Tesla M6 GPU board designed for data center and high-performance computing applications. Below are some potential pros and cons to help you make an informed decision about purchasing this product:

1. High Performance: This GPU board features NVIDIA Tesla M6 GPUs, which offer impressive computing power and are well-suited for processing-intensive workloads such as machine learning, artificial intelligence, and scientific simulations.

2. Large Memory Capacity: With 24GB of GDDR5 memory per GPU, this board provides ample memory for handling large datasets and complex models.

3. Scalability: Multiple GPUs can be connected using NVIDIA's NVLink technology to increase performance and bandwidth between GPUs.

4. Efficient Power Consumption: NVIDIA's power management features help to optimize power usage and reduce energy costs, making this board a good choice for large-scale data centers.

5. Reliability: NVIDIA GPUs are known for their robustness and reliability, making this board suitable for mission-critical applications.

1. High Cost: The NVIDIA Tesla M6 GPUs are high-end components, and this board is designed for data centers and HPC applications, which can make it a significant investment for smaller businesses or research organizations.

2. Complexity: Installing and managing this board can be more complex than consumer-grade GPUs due to its professional use case and the requirements for specialized cooling, power supplies, and software installations.

3. Size and Weight: This is a large and heavy board that requires substantial space and power resources, making it less practical for smaller operations or those with limited infrastructure.

4. Proprietary Software: NVIDIA's CUDA and other specialized software may require licensing fees or experience to effectively utilize the full capabilities of this board.

The NVIDIA 321-0009-000 board with IBM FRU 13M8429 604 600-50347-0000-305 is a powerful, high-performance GPU solution for data centers and HPC applications, best suited for organizations with significant computational requirements and the infrastructure to support it. Its high cost, complexity, and size contribute to its appeal for larger institutions, while its impressive computing power and scalability make it an attractive option for businesses and research organizations working on data-intensive tasks.

If you are a small business, research institution, or individual with lesser computational requirements and limited resources, it might be advisable to consider alternative GPU solutions better suited to your needs. For those invested in NVIDIA's ecosystem and with the resources to support this high-performance GPU board, the NVIDIA 321-0009-000 board with IBM FRU 13M8429 604 600-50347-0000-305 is an excellent choice for data-intensive workloads and large-scale machine learning or scientific simulations.

Details:

NVIDIA model 321-0009-000 BOARD REV C IBMFRU 13M8429 604 600-50347-0000-305 USED. Unless stated otherwise. USED, This item is sold as used, working with 30 day warranty.

Has some scuffs/scratches/signs of usage.

part #: 3210009000 prices

• $60.00-$89.99

specifications servertimber:

• brand: Nvidia
• mpn: 321-0009-000
• part type: Board
• unit type: Unit

general servertimber:

• condition: Used
• Enterprise Networking, Servers > Server Components > Server Boards

shipping servertimber:

• carrier: USPS
• cost: $10.99
• service: USPS Priority Mail
• transit: 3-9 Days
• class: Expedited
• type: Fixed

offer servertimber:

• started: December 4, 2024
• quantity: 1
• options: Ship-to-home
• availability: In Stock
• sold: 0

returns servertimber:

• paid by: Seller
• time: 30 Days
• policy: Returns Accepted
• method: Money back

seller servertimber:

• rating: 99.6%
• # reviews: 16992
• city: Houston, Texas

payments servertimber:

• other
• wallet: Apple-pay
• credit card: Discover

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