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Nº de artículo:
51491995
nVidia Tesla K80
80% of respondents would recommend this to a friend
Nº de artículo:
51491995
PYG 1917685
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What Stands Out
High Performance
The nVidia Tesla K80 offers exceptional performance with dual GPU architecture, enabling faster computations and more efficient workloads for demanding applications in data science, deep learning, and simulations.
Large Memory
With 24GB of GDDR5 memory, the Tesla K80 provides ample bandwidth for handling large datasets and complex models, ideal for high-performance computing environments requiring extensive data processing capabilities.
Energy Efficiency
Designed for efficient power consumption, the Tesla K80 balances performance with energy savings, reducing operational costs while maximizing computing capabilities, making it a smart choice for large-scale deployments.
Detalles de producto
- Product: nVidia Tesla K80
- Part Number: 900-22080-0000-000/ 699-22080-0200-531
- Memory size (GDDR5): 24GB
- CUDA cores: 4992
- Number Of GPUs: 2x GK120 GPUs
- Delivers 5-10x Boost In Key Application Performance
| Graphics Coprocessor | Nvidia Tesla |
| Graphics Card Ram | 24 GB |
| Video Output Interface | DisplayPort, DVI |
| Graphics Ram Type | GDDR5 |
| Compatible Devices | Desktop |
| Graphics Card Interface | PCI Express |
| Memory Clock Speed | 2500 MHz |
| Number of Fans | 1 |
| Display Maximum Resolution | 4096x2160 |
| Display Resolution Maximum | 4096x2160 |
| Item Dimensions L x W | 17.6"L x 7.8"W (44.7 x 19.8 cm) |
| Brand | Fujitsu |
| Video Processor | NVIDIA |
| Antenna Location | Professional |
| Model Name | Tesla K80 |
| Graphics Description | Nvidia Tesla K80 |
| Unit Count | 1 Count |
| Global Trade Identification Number | 04053026870887 |
| Number of Packs | 1 |
| Manufacturer | nVidia |
| Number of Items | 1 |
| UPC | 885782537346 |
| Model Number | S26361-F2222-L81 |
| Mfr Part Number | S26361-F2222-L81 |
| Graphics Ram Size | 24 GB |
| Graphics Processor Manufacturer | NVIDIA |
| Package Weight | 4.52 Pound |
Who Should Buy?
-
High Performance Computing
Ideal for researchers and institutions requiring powerful computational capabilities for simulations and data processing tasks.
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Deep Learning Users
Perfect for data scientists and AI developers who need substantial GPU resources for training complex machine learning models.
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Cloud Computing Providers
Beneficial for cloud service providers looking to enhance their infrastructure with advanced GPU acceleration for scalable applications.
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Casual Gamers
Not suitable for casual users who primarily play games, as the Tesla K80 lacks gaming optimization features.
DESCRIPCIÓN DEL PRODUCTO
About This Item
Get the ultimate performance for your servers with the nVidia Tesla K80 GPU Accelerator. This powerful graphics processing unit is designed to take your server's performance to the next level. With a massive 24GB of memory, the Tesla K80 can handle the most demanding workloads with ease. The nVidia Tesla K80 is perfect for data centers, AI applications, cloud computing, and deep learning.
Its CUDA cores and high memory capacity allow for fast and efficient processing, making it ideal for both workstation and server environments. Don't let the size fool you - the nVidia Tesla K80 is designed to be power efficient with low power consumption and excellent heat management. Its advanced cooling system ensures that your GPU stays cool even during intense workloads, so you can focus on getting the job done without worrying about overheating. Whether you're a professional in need of high-performance computing or a gamer looking for top-notch graphics, the nVidia Tesla K80 delivers unparalleled performance. Experience the difference of having the best GPU accelerator on the market with the nVidia Tesla K80.
Upgrade your server today and see the difference it can make. Shop now and get the best price on the nVidia Tesla K80 at Ubuy. Don't miss out on this opportunity to supercharge your server's performance. Order now and take advantage of our fast and reliable shipping.
Get the nVidia Tesla K80 and revolutionize your computing experience today.
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Preguntas y respuestas de los clientes
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Pregunta:
What is the nVidia Tesla K80 used for?
Respuesta: The nVidia Tesla K80 is primarily designed for high-performance computing tasks, including deep learning, scientific simulations, and data analytics. It features a powerful architecture that allows it to efficiently handle complex computations. This makes it ideal for researchers and enterprises looking to run large-scale simulations or train deep learning models. For instance, academic institutions may use it to conduct experiments in computational chemistry, while businesses could leverage its processing power for big data analytics. -
Pregunta:
What are the key specifications of the nVidia Tesla K80?
Respuesta: The nVidia Tesla K80 boasts impressive specifications, including dual GPUs with a combined 24GB of GDDR5 memory and over 4,500 CUDA cores. This enables it to deliver exceptional performance for parallel processing tasks. Furthermore, it supports CUDA and OpenCL, providing versatility for developers. For example, users can run multiple simulations simultaneously or execute large datasets for machine learning applications efficiently, significantly reducing computation time. -
Pregunta:
How does the nVidia Tesla K80 compare to other GPUs?
Respuesta: Compared to standard consumer GPUs, the nVidia Tesla K80 is optimized for parallel processing and high-demand computational tasks. While consumer GPUs may excel in gaming graphics, the Tesla K80 focuses on performance in scientific and technical workloads. For instance, many organizations find the K80’s capabilities more suitable for data center applications than conventional gaming-oriented graphics cards, particularly in AI and machine learning environments. -
Pregunta:
Can the nVidia Tesla K80 be used for gaming?
Respuesta: While it's technically possible to use the nVidia Tesla K80 for gaming, it is not recommended. The K80 is specifically designed for computational tasks rather than graphical performance seen in traditional gaming GPUs. Users will likely experience suboptimal gaming performance and lack support for gaming-specific features such as rendering and frame rate optimization. For the best gaming experience, it is advisable to opt for consumer-grade GPUs. -
Pregunta:
What are the cooling requirements for the nVidia Tesla K80?
Respuesta: The nVidia Tesla K80 requires a robust cooling system due to its high performance and power consumption. It typically operates best in systems with advanced cooling solutions like liquid cooling or high-efficiency air cooling. Without appropriate cooling, the GPU could overheat, leading to thermal throttling or damage. It's essential for data centers and users to configure their setups to maintain optimal operating temperatures, particularly during extended compute workloads. -
Pregunta:
Is the nVidia Tesla K80 compatible with standard motherboards?
Respuesta: Yes, the nVidia Tesla K80 can be used with standard motherboards that have a compatible PCI Express (PCIe) slot. However, it's important to ensure that the rest of your system meets the power supply and cooling requirements. Ideal compatibility includes a robust server-grade motherboard designed for high-performance computing, as this optimizes the GPU's capabilities. Users planning to integrate the K80 should consider their total system architecture to maximize performance. -
Pregunta:
What software is needed to use the nVidia Tesla K80?
Respuesta: To effectively utilize the nVidia Tesla K80, users should install NVIDIA GPU drivers along with CUDA (Compute Unified Device Architecture) and compatible software development kits (SDKs). This setup enables developers to access the full computational power of the K80 for applications in AI, machine learning, and scientific computing. For instance, frameworks like TensorFlow or PyTorch can exploit the K80's capabilities for optimizing model training processes. -
Pregunta:
What are the power requirements for the nVidia Tesla K80?
Respuesta: The nVidia Tesla K80 requires sufficient power to operate optimally, drawing up to 300 watts during peak usage. It is crucial to ensure that the power supply unit (PSU) within your system can handle this requirement, along with the needs of other components. High-performance systems often use dedicated power supplies to ensure reliability under heavy computational loads, preventing performance dips or failures during intensive operations. -
Pregunta:
How can I monitor the performance of my nVidia Tesla K80?
Respuesta: Monitoring the performance of the nVidia Tesla K80 can be achieved using NVIDIA’s tools such as NVIDIA SMI (System Management Interface). This command-line utility allows users to track GPU usage, temperatures, and power consumption. Additionally, third-party monitoring software can provide more detailed insights into your GPU's performance. This is particularly useful in data science applications where maintaining optimal performance levels is critical for training and inference tasks. -
Pregunta:
Where can I buy nVidia Tesla K80 in BD?
Respuesta: You can buy nVidia Tesla K80 in BD from Ubuy, a reputable e-commerce platform that specializes in providing high-performance computing components. Ubuy offers a variety of options and ensures that customers receive quality products backed by reliable service, making it a convenient choice for purchasing specialized hardware like the Tesla K80.
Fujitsu Graphics Cards S26361-F2222-L81 Editorial Review
nVidia Tesla K80 is a powerful graphics coprocessor featuring 24 GB of GDDR5 RAM and designed primarily for servers and datacenters. This model lacks built-in fans, which necessitates a custom cooling solution for optimal performance. Users often appreciate its capability in simulations and deep learning, particularly excelling in double precision tasks where it outperforms Titan X graphics cards. However, potential buyers should be cautious as some have reported issues with delivery and condition upon arrival, including bent mounts suggesting prior extensive use. Research into compatibility and necessary attachments is essential before installation to ensure a smooth experience with this GPU.
Customer Reviews & Ratings
45 valoraciones de los clientes
-
5 estrella
44%
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4 estrella
16%
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3 estrella
14%
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2 estrella
3%
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1 estrella
23%
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ventajas
- 24 GB GDDR5 RAM for intensive tasks
- Excellent for double precision performance
- Suitable for deep learning applications
- Supports high display resolution up to 4096x2160
- Compatible with various desktop setups
Contras
- Cooling solutions can be tricky and noisy.
Platform Trust & Buyer Confidence
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“Great products and very good service: very easy and very fast international delivery.”
9 September 2026 · via Trustpilot
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Verified buyer
“Easy to find and order what you want on the website. Delivery is quick to the UK”
8 September 2026 · via Trustpilot
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PYG 1917685
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características y beneficios
- 24GB Memory size (GDDR5)
- 4992 CUDA cores
- 2x GK120 GPUs
- Suitable for servers
- Ideal for applications such as NAMD, GROMACS, AMBER
- Boosts performance for applications like SPECFEM3D, CAFFE, etc.
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