IBM 68Y7442 Bladecenter Gpu Expansion Blade Bge 68Y7467

( Brand: Ibm ), ( Type: Expansion Blade ), ( Manufacturer Part Number: 68Y7442 )

Review IBM Bladecenter Gpu Expansion Blade Dc bge

The IBM 68Y7442 BladeCenter GPU Expansion Blade 68Y7467 DC-BGE is a high-performance computing solution designed to enhance the capabilities of IBM BladeCenter systems. This expansion blade integrates seamlessly with the IBM BladeCenter ecosystem, delivering increased GPU processing power for data-intensive workloads.

The blade is equipped with two NVIDIA Tesla M60 GPUs, each featuring 448 CUDA cores, 8 GB of GDDR5 memory, and a compute capacity of 1.2 teraflops. This advanced GPU technology enables the blade to handle complex computational tasks, making it an ideal choice for applications such as scientific research, financial modeling, and machine learning.

The IBM 68Y7442 BladeCenter GPU Expansion Blade 68Y7467 DC-BGE also comes with a high-bandwidth interconnect that enables efficient data transfer between the blade and other components in the BladeCenter system. This interconnect ensures that the blade can effectively leverage the resources of the system, optimizing overall performance and delivering faster results.

The blade is designed with energy efficiency in mind, featuring IBM's PowerVM Live Partition Mobility technology, which allows for the efficient utilization of system resources and reduces power consumption by enabling the consolidation of workloads. Additionally, the blade is equipped with IBM's Enhanced Cooling Technology, which ensures optimal operating temperatures and reduces the need for excessive fan speed, further reducing power consumption and noise levels.

The IBM 68Y7442 BladeCenter GPU Expansion Blade 68Y7467 DC-BGE is a versatile and powerful solution for businesses and organizations seeking to maximize the performance of their IBM BladeCenter systems. Its advanced GPU technology, efficient interconnect, and energy-saving features make it an essential addition to any high-performance computing environment.

The IBM BladeCenter GX System with Model Number 68Y7442 is a high-performance computing solution designed for data centers and enterprise environments. This system includes a Blade Center Expansion Blade, Model Number 68Y7467 DC-BGE, which is specifically designed to support GPU (Graphics Processing Unit) acceleration. In this analysis, we will discuss the potential pros and cons of purchasing this IBM BladeCenter GPU Expansion Blade.

1. High Performance: IBM BladeCenter GPU Expansion Blade supports NVIDIA Tesla GPUs, known for their high-performance computing capabilities. This makes it an ideal choice for organizations that require heavy computational power, such as those in scientific research, finance, or machine learning.

2. Scalability: The IBM BladeCenter infrastructure is designed to be highly scalable. The GPU expansion blade can be easily added to existing BladeCenter environments, enabling organizations to expand their computing power as needed.

3. Energy Efficiency: IBM's PowerAI technology is designed to optimize energy consumption and improve overall performance. This can lead to cost savings in the long run, especially for organizations with large computing requirements.

4. Flexibility: The IBM BladeCenter GPU Expansion Blade supports a range of GPUs, allowing organizations to choose the most appropriate one based on their specific needs and budget.

1. Cost: The IBM BladeCenter GPU Expansion Blade and its associated GPUs can be quite expensive. Organizations with limited budgets may find it difficult to justify the investment.

2. Complexity: The IBM BladeCenter infrastructure can be complex to set up and manage. This may require the hiring of specialized IT personnel or consulting services, which can add to the overall cost.

3. Compatibility: The IBM BladeCenter GPU Expansion Blade is designed to work specifically with IBM BladeCenter systems. Organizations with non-IBM infrastructure may not be able to take advantage of this solution.

4. Upgrade Path: The BladeCenter GPU Expansion Blade may not offer a clear upgrade path for older GPUs. Organizations may need to replace their entire blade infrastructure to take advantage of newer, more powerful GPUs.

In conclusion, the IBM BladeCenter GPU Expansion Blade is a powerful and flexible solution for organizations with heavy computational requirements. Its high performance, scalability, and energy efficiency make it an attractive option for scientific research, finance, machine learning, and other data-intensive applications. However, its high cost, complexity, and potential compatibility issues may make it a less desirable choice for smaller organizations or those with limited budgets. Ultimately, the decision to purchase the IBM BladeCenter GPU Expansion Blade will depend on an organization's specific needs, budget, and existing infrastructure.

For organizations with significant computational requirements and the financial resources to invest in a high-performance computing solution, the IBM BladeCenter GPU Expansion Blade is a strong recommendation. Its ability to support a range of GPUs and easily integrate with existing BladeCenter environments makes it a versatile and scalable solution. However, for smaller organizations or those with limited budgets, alternative solutions, such as GPU-enabled workstations or cloud-based GPU services, may be more cost-effective.

Details:

Pulled from working system.

part #: 68y7442 prices

• $200.00-$799.00

specifications serversappy:

• brand: Ibm
• type: Expansion Blade
• manufacturer part number: 68Y7442

returns serversappy:

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

offer serversappy:

• options: Ship-to-home
• best offers: True
• sold: 0
• started: September 25, 2025
• availability: In Stock
• quantity: 1

shipping serversappy:

• carrier: FedEx
• cost: $35.00
• class: Standard
• service: FedEx Ground / FedEx Home Delivery
• type: Fixed
• transit: 2-6 Days

general serversappy:

• Enterprise Networking, Servers > Server Components > Other Ent Server Components
• condition: Used

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• credit card: Discover

seller serversappy:

• # reviews: 566
• rating: 100.0%
• city: Walpole, Massachusetts

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