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Item #:
18760417
NVIDIA 900-22081-0040-000 Tesla K40 Passive 12GB PCIE 3.0 Computing Module
Item #:
18760417
ZMW 4956
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What Stands Out
High Memory Capacity
With 12GB of GDDR5 memory, this module supports extensive data processing for complex computations, making it ideal for professionals in AI, machine learning, and data analytics.
Passive Cooling Design
The passive cooling system enhances reliability and minimizes noise, perfect for users in noise-sensitive environments while ensuring optimal performance under heavy computational loads.
PCIe 3.0 Interface
Offering PCIe 3.0 support, this computing module guarantees high-speed data transfer, ensuring users experience a significant performance boost in their applications compared to older interfaces.
Product Details
| Item Weight | 2.5 lbs (1.13 kg) |
Who Should Buy?
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Data Scientists
Ideal for professionals needing high-performance computing for complex data analyses and machine learning tasks.
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Research Institutions
Perfect for universities and labs performing large simulations or processing vast datasets in scientific research.
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AI Developers
Beneficial for software developers focused on artificial intelligence applications, requiring enhanced computational power.
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Casual Users
Not suitable for everyday use as it is designed for specialized high-performance computing needs.
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Budget-Conscious
High cost may deter users seeking economical solutions for standard computing tasks or gaming.
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Basic Gaming
Overly advanced for gaming; gamers might prefer consumer graphics cards for their optimal performance and price.
Product Description
NVIDIA 900-22081-0040-000 Tesla K40 Passive 12GB PCIE 3.0 Computing Module
About This Item
Experience unparalleled performance and power with the NVIDIA Tesla K40 12GB GPU. This powerhouse of a graphics processing unit is perfect for those in need of high-performance computing solutions, whether you're running complex simulations, analyzing big data, or delving into deep learning and AI applications. The NVIDIA Tesla K40 GPU is designed with the latest NVIDIA Kepler architecture, delivering exceptional speed and efficiency. With a whopping 12GB of GDDR5 memory, you'll have all the resources you need to tackle even the most demanding workloads with ease. Featuring advanced technologies like dynamic parallelism and hyper-Q, the Tesla K40 offers unmatched GPU performance.
It enables you to accelerate a wide range of scientific and engineering applications, from molecular dynamics simulations to computational finance. Not only is the Tesla K40 a powerhouse when it comes to performance, but it also offers excellent compatibility and flexibility. This GPU is specifically designed for data center environments, making it an ideal choice for businesses and research institutions. With support for multiple operating systems and APIs, you can seamlessly integrate the Tesla K40 into your existing IT infrastructure. What sets the Tesla K40 apart from its competitors is its versatility.
Whether you're involved in scientific research, virtualization, cloud computing, or data analytics, this GPU has got you covered. Its high-performance capabilities and exceptional memory bandwidth make it the go-to solution for data centers looking to enhance their computational power. Don't settle for anything less than the best when it comes to your computing needs. Upgrade to the NVIDIA Tesla K40 12GB GPU and experience the ultimate in performance, speed, and efficiency.
Shop now and unleash the true potential of your data center.
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Customer Questions & Answers
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Question:
What is the NVIDIA Tesla K40 Computing Module and its key features?
Answer: The NVIDIA Tesla K40 is a high-performance computing module designed for data centers and professional computing uses. It features 12GB of GDDR5 memory, providing substantial bandwidth to handle massive datasets. Equipped with NVIDIA's Kepler architecture, it delivers significant improvements in performance and energy efficiency. This module is optimized for GPU-accelerated applications like machine learning, simulations, and scientific computing, making it ideal for researchers and data scientists looking to enhance computational capabilities. -
Question:
How does the passive cooling system of the Tesla K40 benefit its performance?
Answer: The Tesla K40 features a passive cooling system that enables silent operation. This design is particularly beneficial in environments that require minimal noise, such as libraries or laboratories. Passive cooling allows for efficient thermal management, enhancing the module's performance during extended computational tasks without overheating. It is ideal for high-density server configurations where space and noise level are critical considerations. -
Question:
What types of applications can benefit from using the Tesla K40 module?
Answer: The Tesla K40 module is well-suited for various applications, including deep learning, scientific simulations, data visualizations, and high-performance computing tasks. Its powerful architecture can process complex algorithms and handle parallel workloads, making it an excellent choice for researchers in AI, physics simulations, and financial modeling. Professionals in these fields often use the K40 to accelerate their workflows, reducing computation times significantly. -
Question:
Is the Tesla K40 compatible with standard motherboards?
Answer: Yes, the Tesla K40 is compatible with motherboards that support PCIe 3.0 interfaces. It can be integrated into various server setups and workstations designed for high-performance computing. However, users should ensure their systems meet the power requirements and have sufficient physical space for installation. This flexibility makes the K40 an appealing choice for organizations upgrading their existing infrastructure or building new systems focused on computational tasks. -
Question:
What is the significance of the 12GB memory in the Tesla K40?
Answer: The 12GB GDDR5 memory in the Tesla K40 is significant as it allows for substantial data handling capabilities. This large memory capacity is crucial for applications that require processing large datasets, such as big data analytics and 3D rendering. The enhanced memory reduces the frequency of data transfers, which can be a bottleneck in performance. Consequently, professionals utilizing this module can perform more complex calculations and simulations more efficiently. -
Question:
Can the Tesla K40 be used in machine learning applications?
Answer: Absolutely! The Tesla K40 is specifically engineered to excel in machine learning tasks. Its high computational power and memory capacity enable it to train complex models quickly. Many practitioners in the field utilize the K40 to run deep learning frameworks like TensorFlow and Caffe, benefiting from its ability to handle large neural networks. This capability enables faster iterations during model training and enhances overall productivity in developing AI solutions. -
Question:
What types of connectors and ports does the Tesla K40 use?
Answer: The Tesla K40 module utilizes a PCI Express 3.0 x16 interface, allowing it to connect seamlessly with compatible motherboards. It includes multiple connectors for power supply, ensuring stable performance under heavy computational loads. Users can find these specifications crucial when designing or upgrading their systems, as they dictate compatibility and power management capabilities during high-intensity tasks. -
Question:
What systems or servers are recommended for pairing with the Tesla K40?
Answer: The Tesla K40 is recommended for use with high-performance computing systems, particularly those designed for scientific research and advanced data analysis. Systems like the NVIDIA DGX series or other servers that support multiple GPU configurations are ideal. These setups ensure optimal utilization of the K40's capabilities, maximizing processing power and memory efficiency for demanding tasks such as complex simulations and real-time data processing. -
Question:
Are there any programming languages best suited for leveraging the Tesla K40's performance?
Answer: Yes, programming languages such as C, C++, and Python are particularly effective when leveraging the capabilities of the Tesla K40. Many data scientists and developers use CUDA (Compute Unified Device Architecture) to tap into the GPU resources for parallel processing tasks. This synergy allows for optimized performance in applications that are computationally intensive, such as scientific computing and machine learning, making the module a powerful ally in processing large data efficiently. -
Question:
Where can I buy the NVIDIA 900-22081-0040-000 Tesla K40 Passive 12GB PCIE 3.0 Computing Module?
Answer: You can buy the NVIDIA 900-22081-0040-000 Tesla K40 Passive 12GB PCIE 3.0 Computing Module from Ubuy in Zambia. Ubuy offers a reliable platform for sourcing various tech products, ensuring you have access to quality components like the Tesla K40.
NVIDIA Graphics Cards Editorial Review
The NVIDIA Tesla K40 12GB GPU has garnered a mixed reception among its users, primarily due to its intended use case and the necessary modifications required to operate it effectively in a non-server environment. While several customers have praised its performance in deep learning applications, particularly when a careful setup is employed, the GPU has notable limitations that potential buyers should be aware of. For those highly familiar with GPU computing, particularly in data science or machine learning, the K40 offers solid performance albeit at a performance disadvantage when compared to modern GPUs like the RTX 3060. A key takeaway is that it is still a viable option for deep learning tasks, especially given its low price point relative to newer models. However, users may need to invest time and effort into modifying the cooling system to ensure it runs efficiently in a desktop setup, given its design is oriented towards server environments with robust airflow systems. On the downside, the absence of display outputs is a significant drawback. Users seeking to connect traditional monitors will find themselves at a loss, as the K40 lacks common connections like HDMI or VGA. This makes it less accessible for casual users who may not have the means to adapt to these requirements. Additionally, the passive cooling arrangement may necessitate further cooling modifications, which could be off-putting for buyers expecting a plug-and-play experience. In summary, the NVIDIA Tesla K40 may be an appealing choice for those entrenched in deep learning and willing to invest in proper modifications. However, its limitations around connectivity and cooling, combined with its outdated architecture, mean it’s not suitable for everyone. **
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Pros
- Good performance for deep learning applications.
- Affordable price for users familiar with GPU processing.
- Can be modified for better cooling, making it viable for desktop use.
Cons
- No display outputs (DP, HDMI, DVI, VGA).
Product Price History
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ZMW 4956
Order now and get it around Tuesday, July 07
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