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Lambar abu:
95402422
Fujitsu NVIDIA Tesla K80 24GB GDDR5 Graphics Cards (Tesla K80, 24GB, GDDR5, 384 bit, 2500 MHz, PCI Express x16 3.0)
Lambar abu:
95402422
XAF 289365
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from Ƙasar Birtaniya
0 ratings
Rubuta bita
A Stock
An shigo da shi daga kantin UK
Yi Oda yanzu, a samu nan da Asabar, Agusta 22
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What Stands Out
High Memory Capacity
With 24GB of GDDR5 memory, the Tesla K80 excels in handling large datasets and complex computations, making it ideal for professionals in AI, deep learning, and scientific simulations.
Dual GPU Architecture
The Tesla K80 features dual GPUs, allowing for efficient multi-tasking and computational performance, significantly reducing processing times compared to single GPU solutions.
Exceptional Bandwidth
Offering 384-bit memory interface and 2500 MHz speed, the Tesla K80 delivers high bandwidth performance, essential for data-intensive applications and ensuring seamless operation in demanding environments.
Bayanin samfur
| Graphics Coprocessor | Nvidia Tesla |
| Graphics Card Ram | 24 GB |
| Video Output Interface | VGA |
| Graphics Ram Type | GDDR5 |
| Compatible Devices | Desktop |
| Graphics Card Interface | PCI Express |
| Memory Clock Speed | 2500 MHz |
| Number of Fans | 1 |
| Display Maximum Resolution | 3840x2160 |
| Maximum Display Resolution | 3840x2160 |
| Item Dimensions L x W | 44.7L x 19.8W centimetres |
| Brand Name | Fujitsu |
| Video Processor | NVIDIA |
| Antenna Location | Server applications requiring high computational power and graphics processing |
| Model Name | Tesla K80 |
| Graphics Description | Nvidia Tesla K80 |
| Global Trade Identification Number | 04053026870887 |
| Manufacturer | nVidia |
| UPC | 885782537346 |
| Manufacturer Part Number | S26361-F2222-L81 |
| Model Number | S26361-F2222-L81 |
| Unit Count | 1.0 count |
| Graphics co-processor | Nvidia Tesla |
| Brand | Fujitsu |
| Graphics RAM size | 24 GB |
| Graphics processor manufacturer | NVIDIA |
| Recommended uses for product | Server applications requiring high computational power and graphics processing |
Who Should Buy?
-
Data Scientists
Ideal for data scientists performing large-scale computations and machine learning tasks requiring massive parallel processing power.
-
AI Researchers
Great for artificial intelligence research that involves training complex algorithms on large datasets efficiently.
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High-Performance Computing
Recommended for organizations needing immense computational resources for simulations, modeling, and advanced data analytics.
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Casual Gamers
Not suitable for casual gamers as the Tesla K80 lacks optimizations for gaming performance and graphical fidelity.
KWATANCEN ABUN
Fujitsu NVIDIA Tesla K80 24GB GDDR5 Graphics Cards (Tesla K80, 24GB, GDDR5, 384 bit, 2500 MHz, PCI Express x16 3.0)
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.
Kuna da wata tambaya? Yi taɗi da mu
Tambayoyi & Amsoshi na Abokan Ciniki
-
Tambaya:
What is the CUDA core count of this GPU accelerator?
Amsa: 4992 CUDA cores. -
Tambaya:
What type of applications is this GPU accelerator ideal for?
Amsa: This GPU accelerator is ideal for applications such as NAMD, GROMACS, and AMBER. -
Tambaya:
How much memory does this GPU accelerator have?
Amsa: This GPU accelerator has a memory size of 24GB (GDDR5).
Fujitsu S26361-F2222-L81 Editorial Review
Ba a sami sake dubawa na edita ba
Customer Reviews & Ratings
1 Ƙimar da abokan ciniki suka bayar
-
5 Tauraruwa
100%
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4 Tauraruwa
0%
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3 Tauraruwa
0%
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2 Tauraruwa
0%
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1 Tauraruwa
0%
Yi bitar akan wannan Samfurin
Faɗan wa sauran Abokan ciniki ra'ayin ka
Ribobi
- Good performance for parallel computing
- Efficient thermal management
- Supports multiple GPU setups
- Large memory capacity
- Reliable for data centers
Fursunoni
- Can be noisy under heavy load.
Platform Trust & Buyer Confidence
MT
Mohd
Verified buyer
“The product received very good packaging & safe…Thank You”
16 June 2026 · via Trustpilot
SJ
Shawati
Verified buyer
“Accurate delivery timing given”
16 June 2026 · via Trustpilot
YB
Youcef
Verified buyer
“Not madly expensive like I thought, and much quicker than promised.”
15 June 2026 · via Trustpilot
LM
Leila
Verified buyer
“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”
6/7/2026 · via Trustpilot
KA
Kwame
Verified buyer
“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”
12 June 2026 · via Trustpilot
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XAF 289365
Yi Oda yanzu, a samu nan da Asabar, Agusta 22
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Fasaloli & Fa'idoji
- 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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