Features & Benefits
- Accelerate scientific and technical computing
- Enjoy faster performance and accessibility
- Based on NVIDIA Kepler™ architecture
- 5GB standard memory
- PCI Express 2.0 x16 host interface
- Cooler Type: Fan Cooler
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Item #:
7161749
Nvidia Corporation 900-22081-2221-000 Tesla K20 5gb Retail Kepler Single Board Retail Box
Item #:
7161749
SHP 310
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What Stands Out
High Performance
The Tesla K20 features Kepler architecture, offering exceptional computational power for advanced graphics and parallel processing, making it ideal for high-demand applications and data-intensive tasks.
Enhanced Efficiency
With its 5GB memory and advanced cooling design, the Tesla K20 ensures high efficiency and thermal management, reducing energy usage while maximizing performance in demanding environments.
Flexible Integration
Designed for seamless integration into existing systems, the Tesla K20 is compatible with various workstations and server environments, making it a versatile choice for professionals seeking enhanced computing capabilities.
Product Details
| Graphics Coprocessor | NVIDIA Tesla K20 |
| Graphics Card Ram | 5 GB |
| Graphics Ram Type | GDDR5 |
| Compatible Devices | Desktop |
| Graphics Card Interface | PCI-Express x16 |
| Memory Clock Speed | 8000 MHz |
| Brand | NVIDIA |
| Video Processor | NVIDIA |
| Manufacturer | NVIDIA |
| UPC | 186710016996 643772374049 857905002574 |
| Mfr Part Number | 900-22081-2221-000 |
| Model Number | 900-22081-2221-000 |
| Item Weight | 3 Pounds (1.36 kg) |
| Graphics Ram Size | 5 GB |
| Graphics Processor Manufacturer | NVIDIA |
| Graphics RAM Type | GDDR5 |
Who Should Buy?
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Data Scientists
Ideal for data scientists who require powerful processing for deep learning and data analysis tasks.
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Graphics Professionals
Perfect for graphic designers and 3D animators needing high-performance GPU capabilities for rendering tasks.
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Research Institutions
Beneficial for research organizations performing complex simulations and computations that need robust graphical processing.
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Casual Gamers
Not suitable for casual gamers looking for basic gaming performance or lesser graphical demands.
Product Description
Nvidia Corporation 900-22081-2221-000 Tesla K20 5gb Retail Kepler Single Board Retail Box
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What is the Nvidia Corporation 900-22081-2221-000 Tesla K20?
Answer: The Nvidia Tesla K20 is a high-performance graphics processing unit (GPU) designed for data centers and high-performance computing applications. With 5GB of GDDR5 memory, it is tailored for parallel processing tasks that require immense computations, such as scientific simulations, machine learning, and rendering. Its architecture utilizes the Kepler technology, which optimizes power efficiency and computational performance. Users in fields such as deep learning, AI research, and computational physics typically leverage the capabilities of this GPU to accelerate their workloads. -
Question:
What are the key features of the Nvidia Tesla K20?
Answer: The Nvidia Tesla K20 features 2,496 CUDA cores, offering significant parallel processing capabilities suitable for demanding tasks. It supports up to 5GB of GDDR5 memory and provides a memory bandwidth of 208 GB/s, ensuring fast data processing and transfer rates. Additionally, with the ability to handle multiple concurrent workloads, it's ideal for machine learning and simulations that require efficient resource management. Users can utilize this GPU to run complex algorithms in real-time, making it a powerful tool for researchers and developers alike. -
Question:
How does the Tesla K20 perform in deep learning applications?
Answer: The Tesla K20 excels in deep learning applications, due to its combination of high CUDA core count and large memory. The Kepler architecture is designed to handle large datasets, which are essential for training neural networks. Its ability to efficiently execute multiple threads simultaneously allows for faster training and inference times, making it a favored choice among data scientists and researchers. For instance, when training complex models in natural language processing or image recognition, users can see significant performance gains, allowing for more iterative testing and refinement. -
Question:
Is the Tesla K20 compatible with all systems?
Answer: The Tesla K20 is designed to work with systems that support PCIe 2.0 or higher, so compatibility largely depends on your system’s motherboard. Cross-platform capabilities make it a versatile option for both Windows and Linux environments. Additionally, users typically integrate it into high-performance computing clusters, workstations, or servers tailored for computationally intensive tasks. If you're planning a build focused on scientific research or advanced graphical applications, verifying compatibility with your existing setup is essential for optimal performance. -
Question:
Can the Tesla K20 support multiple displays?
Answer: The Nvidia Tesla K20 does not support multiple displays in the same way consumer GPUs do, as it is primarily designed for computation rather than display output. It lacks standard display outputs such as HDMI or DisplayPort. Its focus is on processing large volumes of data for applications like simulations or deep learning rather than running multiple monitors. Users typically connect this GPU within a server environment to leverage its computational power remotely for various tasks without the need for direct display outputs. -
Question:
What type of workloads is the Tesla K20 best suited for?
Answer: The Tesla K20 is optimal for high-performance computing (HPC) tasks, including simulations, data analysis, and computations in scientific research. It is particularly well-suited for applications in fields like bioinformatics, astrophysics, and artificial intelligence where massive datasets and complex mathematical modeling are common. For example, researchers in genomics can leverage its capabilities to process large genomic datasets more efficiently than traditional CPU-bound methods, significantly speeding up research timelines. -
Question:
What cooling solutions are recommended for the Tesla K20?
Answer: Due to its powerful processing capabilities, the Tesla K20 generates significant heat during operation. It is recommended to use a well-ventilated case or a dedicated server rack with proper cooling solutions such as liquid cooling or high-efficiency fans. Ensuring effective cooling helps maintain optimal performance and longevity of the GPU. Users engaged in extensive computing tasks often invest in robust cooling systems to prevent throttling and maintain consistent performance under heavy workloads. -
Question:
What is the power consumption of the Tesla K20?
Answer: The Tesla K20 has a Thermal Design Power (TDP) of approximately 225 watts. It requires an adequate power supply that meets or exceeds this rating to ensure stable operation. When integrating the K20 into a system, users should consider not only the GPU's power requirements but also the overall power needs of the entire setup. This is crucial for those operating in environments with multiple GPUs, as power management becomes essential for maintaining system stability and performance. -
Question:
What programming languages and frameworks can be used with the Tesla K20?
Answer: The Tesla K20 supports several programming frameworks, including CUDA and OpenCL, which are popular for leveraging GPU acceleration in computations. Users are typically able to write applications in languages such as C, C++, and Python that utilize these frameworks for high-performance tasks. Additionally, many machine learning libraries like TensorFlow and PyTorch can take advantage of the Tesla K20's capabilities for training models, making it highly versatile. Developers focused on GPU programming often explore these options to maximize performance in their specific applications. -
Question:
Where can I buy the Nvidia Tesla K20 in Saint Helena?
Answer: You can purchase the Nvidia Corporation 900-22081-2221-000 Tesla K20 from Ubuy in Saint Helena. Ubuy offers a user-friendly platform with a wide variety of products including hardware like the Tesla K20. They provide detailed product descriptions and a convenient shopping experience, making it simple for you to find and acquire the necessary components for your high-performance computing needs.
NVIDIA Graphics Cards 900-22081-2221-000 Editorial Review
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Pros
- Excellent graphics performance
- Efficient energy consumption
- Great for deep learning tasks
- High build quality
- Widely supported software
Cons
- A bit large for some setups
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