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Item #:
23633173
NVIDIA Video Card 900-22080-0000-000 Tesla K80 24GB DDR5 PCI-Express Passive Cooling Brown Box NCNR.
Item #:
23633173
BDT 25892
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Only 3 items left in stock.
Order now and get it around Monday, July 20
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What Stands Out
High Memory Capacity
Equipped with 24GB DDR5 memory, the Tesla K80 handles large datasets effortlessly, making it ideal for intensive computational tasks and deep learning applications.
Efficient Cooling System
The passive cooling design ensures a quieter operation and reduces the risk of overheating, allowing for prolonged use in demanding environments without performance drops.
Advanced Compute Power
NVIDIA's Tesla K80 offers unparalleled performance with dual GPUs, providing enhanced processing capabilities for complex simulations and high-performance computing tasks.
Product Details
- Memory size: 24GB GDDR5
- CUDA cores: 4992
- Number of GPUs: 2x GK120 GPUs
- Delivers 5-10x boost in key application performance
- Optimized for applications such as STAC-A2, RTM, SPECFEM3D, CAFFE, miniFEE, LSMS, Cloverleaf, CHROMA, Quantum Espresso, QMCPACK, HOOMD-Blue, NAMD, LAMMPS, GROMACS, AMBER
- Passive cooling with brown box packaging
| Graphics Coprocessor | NVIDIA Tesla K80 |
| Graphics Card Ram | 24 GB |
| Video Output Interface | DVI, VGA |
| Graphics Ram Type | DDR5 SDRAM |
| Compatible Devices | Desktop |
| Graphics Card Interface | PCI Express |
| Memory Clock Speed | 6000 MHz |
| Display Maximum Resolution | 3840x2160 |
| Display Resolution Maximum | 3840x2160 |
| Brand | NVIDIA |
| Video Processor | NVIDIA |
| Antenna Location | Professional |
| Model Name | Tesla K80 |
| Graphics Description | NVIDIA Tesla K80 with 2 x Kepler GK210 GPUs |
| Manufacturer | Nvidia |
| Graphics Ram Size | 24 GB |
| Graphics Processor Manufacturer | NVIDIA |
| Item Weight | 2.5 lbs (1.13 kg) |
Who Should Buy?
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Data Scientists
Ideal for data scientists needing powerful parallel computing for machine learning and deep learning models.
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High-Performance Computing
Best suited for HPC applications, leveraging its dual GPU architecture for intensive compute tasks and simulations.
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AI Researchers
Beneficial for AI researchers requiring significant GPU resources for training complex neural networks efficiently.
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Casual Gamers
Not suitable for casual gamers seeking high frame rates or gaming-specific features inherent in consumer GPUs.
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Home Users
Home users may find it excessive for basic tasks like browsing or video streaming, which don't require immense power.
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Budget-Conscious Buyers
Pricey for individuals on a budget looking for general performance; focus on lower-cost alternatives for basic needs.
Product Description
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What is the NVIDIA Tesla K80 Video Card?
Answer: The NVIDIA Tesla K80 is a powerful graphics processing unit designed primarily for high-performance computing, data analytics, and machine learning. With 24GB of DDR5 memory, it can handle complex calculations and big data efficiently. It features a dual-GPU design, meaning it combines the performance capabilities of two processing units, enabling faster and more efficient computational tasks. This makes it an ideal choice for researchers, scientists, and professionals who require advanced graphics processing and computational power in their workflows. -
Question:
What are the primary uses for the Tesla K80 Video Card?
Answer: The Tesla K80 is mainly used for deep learning, artificial intelligence, scientific simulations, and data science applications. Its immense processing power allows users to train machine learning models more quickly compared to standard GPUs. Industries such as healthcare, finance, and automotive employ the K80 for tasks requiring extensive number crunching, such as predictive analytics and large-scale data processing. Its architecture is optimized for workloads that demand intensive computations, making it indispensable in technical fields. -
Question:
How does passive cooling affect the performance of the Tesla K80?
Answer: The passive cooling design of the Tesla K80 relies on internal heat dissipation rather than active cooling systems like fans. This results in quieter operation and lower power consumption, making it suitable for data centers where noise control and energy efficiency are critical. However, it's essential to ensure adequate ventilation within the server enclosure to prevent overheating during prolonged high-performance use. Because of its design, the K80 can maintain stable performance across extended workloads, especially in computational-heavy environments. -
Question:
Is the Tesla K80 compatible with all types of systems?
Answer: The Tesla K80 is designed to work with systems that have a PCI-Express slot, but compatibility may vary depending on the server or workstation's specifications. It's important to verify that your system meets the required power supply and thermal management configurations for optimal performance. Many enterprise-level servers are designed specifically for Tesla boards, making integration easier. Users should check the manufacturer's guidelines to ensure full compatibility with existing hardware and software ecosystems. -
Question:
What is the difference between the Tesla K80 and consumer-grade GPUs?
Answer: The Tesla K80 is purpose-built for professional and scientific applications, unlike consumer-grade GPUs focused on gaming and visual content creation. Tesla cards offer superior double-precision performance, which is crucial for scientific simulations and high-end computational tasks, allowing for greater accuracy. Additionally, K80 supports ECC memory to minimize data corruption, ensuring reliability in critical computations, making it an appropriate choice for enterprise environments and research institutions. -
Question:
What kind of software can leverage the Tesla K80's capabilities?
Answer: Numerous applications benefit from the power of the Tesla K80, especially those designed for parallel processing and heavy computational tasks. Software frameworks like TensorFlow, PyTorch, and CUDA can harness the GPU's performance for various tasks including deep learning, financial modeling, and scientific simulations. Additionally, many enterprise analytics platforms and simulation software are optimized to exploit the unique features of Tesla GPUs, enhancing overall performance and efficiency. -
Question:
How can I effectively set up the Tesla K80 for optimal performance?
Answer: To set up the Tesla K80 for optimal performance, ensure that your system has adequate power supply and cooling to prevent overheating. Install the necessary drivers and software, including NVIDIA's CUDA toolkit, to streamline application compatibility. Also, configuring the environment for multi-GPU setups can enhance computational capabilities significantly. Lastly, regular monitoring of system temperatures and performance metrics using tools like NVIDIA's control panel will help you maintain efficiency and stability. -
Question:
What power requirements are needed for the Tesla K80?
Answer: The NVIDIA Tesla K80 requires a robust power supply, typically around 300 watts, which may vary based on additional components in the system. It is crucial to ensure that your system can accommodate the K80's power needs to avoid performance issues. Using a compatible server or workstation that offers proper PCI-Express power connectors will support both stability and performance. Ensuring your power supply meets these requirements can help facilitate seamless operation during intensive computing tasks. -
Question:
What is NCNR, and how does it affect my purchase of the Tesla K80?
Answer: NCNR stands for 'No Cancellation, No Return,' meaning that once you purchase the Tesla K80, the sale is final and you are unable to return or cancel the order. Understanding this policy is essential for buyers, especially in cases where compatibility or performance does not meet expectations. It encourages thorough research prior to purchase, ensuring that the Tesla K80 aligns with your needs regarding computational processing and system requirements. -
Question:
Where can I buy the NVIDIA Video Card 900-22080-0000-000 Tesla K80 24GB DDR5?
Answer: You can buy the NVIDIA Video Card 900-22080-0000-000 Tesla K80 24GB DDR5 PCI-Express Passive Cooling Brown Box NCNR from Ubuy in Bangladesh. Ubuy offers an extensive selection of NVIDIA products, providing customers with easy access to high-performance GPUs like the Tesla K80. Ubuy's platform ensures a reliable shopping experience, including detailed product descriptions and specifications to assist you in making an informed decision.
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12 June 2026 · via Trustpilot
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BDT 25892
Order now and get it around Monday, July 20
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Only 3 items left in stock.
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Features & Benefits
- Memory size (GDDR5): 24GB
- CUDA cores: 4992
- Number Of GPUs: 2x GK120 GPUs
- Suitable for applications such as STAC-A2, RTM, SPECFEM3D, CAFFE, miniFEE, LSMS, Cloverleaf, CHROMA, Quantum Espresso, QMCPACK, HOOMD- Blue, NAMD, LAMMPS, GROMACS, AMBER
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