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HHCJ6 Dell NVIDIA Tesla K80 24GB GDDR5 PCI-E 3.0 Server GPU Accelerator (Renewed)

    • Based on 101 reviews
Condition: Refurbished - Excellent
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Availability: In Stock.
Fulfilled by eStarDeals
Arrives May 25 – May 27
Order within 2 hours and 29 minutes
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Features

  • Dell Nvidia Tesla K80 GPU (Nvidia Part Number: 900-22080-0000-000)
  • Memory size (GDDR5): 24GB
  • CUDA cores: 4992
  • Delivers 5-10x Boost In Key Application Performance for applications such as STAC-A2, RTM, SPECFEM3D, CAFFE, miniFEE, LSMS, Cloverleaf, CHROMA, Quantum Espresso, QMCPACK, HOOMD- Blue, NAMD, LAMMPS, GROMACS, AMBER

Graphics Coprocessor: NVIDIA Tesla K80


Brand: Dell


Graphics Ram Size: 24 GB


GPU Clock Speed: 875 MHz


Video Output Interface: HDMI


Memory Speed: ‎2.5 GHz


Graphics Coprocessor: ‎NVIDIA Tesla K80


Chipset Brand: ‎NVIDIA


Graphics Card Ram Size: ‎24 GB


Brand: ‎Dell


Series: ‎K80 24GB GDDR5 PCI-E 3.0


Item model number: ‎HHCJ6


Item Weight: ‎3.01 pounds


Product Dimensions: ‎10.5 x 1.5 x 4.4 inches


Item Dimensions LxWxH: ‎10.5 x 1.5 x 4.4 inches


Manufacturer: ‎Dell Computers


Is Discontinued By Manufacturer: ‎No


Date First Available: ‎August 15, 2018


Frequently asked questions

If you place your order now, the estimated arrival date for this product is: May 25 – May 27

Yes, absolutely! You may return this product for a full refund within 90 days of receiving it.

To initiate a return, please visit our Returns Center.

View our full returns policy here.

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Similar Products

Top Amazon Reviews

    • Not easy to cool
Review Image by Henry Henry
It works great in ANSYS, but it runs SUPER hot like I'm not even kidding. I have 2 stacked 140mm fans blowing at it through a fan shroud and it's idling at 54 and 87 degrees on the 2 cores. Loaded it up to 100% and it shot up to 95C within 30 seconds, though it finished the analysis within that time so no complaints. If you are running this in a desktop, you better water cool it. A couple of little "features" I'm running an 8700k on Asus Maximus Hero X with 2*Strix GTX1080 already installed. This card goes through PCH and does not take up any PCIe lanes, did not have any impact on SLI performance. There is also no performance hit on my 970Evo M.2 SSD which is also going through the PCH. When it overheats and crashes, it doesn't bring the whole system down. It just freezes for a second but your computer can keep running just fine. ... show more
Reviewed in the United States on November 15, 2020 by Henry Henry
    • This is not HDMI nor does it have any output - it is a Processor GPU only
Let me clarify a few things here: 1. First and foremost - this is a CPU based GPU and it not a graphics accelerator with no output. This is for data mining. Does that mean you cannot reset it to be a graphics accelerator, NO not at all, but you will need a compatable GPU card to run along with it to get the benifits and you will need to manually change this on the card via command line. It is not hard and if you search the web you will find out how to do this. 2. There is no HDMI interface even though it is in the specs for this device. That is just a flat out lie. In fact there are no outputs at all - VGA? NO - DVI? NO - HDMI? NO - Video port? NO there are none, Zero, Nada, Zilch output ports on this card - Hopefully that will clear that up for anyone thinking you can just plug a monitor into the card as there is a ZERO % chance of that. Did I say there are no ouputs? There are none. 3. To power this card on you will need a power cable which was not included which is probably okay as it will depend on the system you are placing this into. I am putting this into a rack mounted Dell R740XD which is a 2u rack mounted server with 256GB of RAM loaded into it. (server supports up to 1.5TB of RAM with its 24 memory slots inside using 64GB chips) This card is huge so make sure you have plenty of space for it. takes up two slots and it long. 4. This GPU will run extremly hot and the server I have has 6 high speed fans blowing over the 2 processors and yes that beast has 2 processors in it, each with 24 cores. Hence the Fans. and if you are putting this into a desktop you had better come up with a cooling soltution as there are no fans on this GPU and you will have to make your own. There are sites that refers to this and offers solutions so I will not recrete the wheel if you have searching skills you can find them. Some people have even made 3D-printer models for this purpose. Bottom line is if you cannot hear you fans they are probably not going to have the airflow you need. Servers have high speed fans that dwarf those desktop fans. They are not as large but they move a ton of air. 5. This card has two GPUs and most likely in windows you are only going to get one of them to work. I gave this 2 stars - might deserve only 1 due to the false description of the card being HDMI. If you enjoy technology and want a challenge and have another GPU that would benifit from the added memory then this could be a fun project. If you want something plug and play then run away as that is not what this beast is. ... show more
Reviewed in the United States on December 21, 2023 by Charles
    • Great excellerator
Worked great in my dl380 g9. Thank you
Reviewed in the United States on February 10, 2024 by Robert K.
    • Why no mounting plate?
I thought this was tested to be fully functional?
Reviewed in the United States on January 4, 2024 by This listing is a scam
    • Good, needed new thermal paste
After the repasting, the card worked way better and 20C cooler.
Reviewed in the United States on July 19, 2023 by Jacob k
    • A high performance GPU compute unit at a great price
For scientific applications that require double-precision accuracy the Tesla K80 is still very relevant, particularly at this price point, with 2.9 TFLOPs at double-precision (versus 7.4 TFLOPs in the $7000 Tesla GV100). Some caveats: (1) if you are looking for applications that only require single-precision (ex. many machine learning applications), other more modern GeForce GPUs are a better use of your money. (2) this is a GPU compute unit, not a graphics card, so you cannot drive a monitor with this. (3) this does not come with a fan. However many that are compatible with the K80 can be found on eBay for around $20 (4) if you have a graphical user environment, setting up CUDA and NVCC in CentOS and RHEL is a pain. It is much easier to use Ubuntu (>=18.04) or Windows. If you are using text-only/SSH interface, OS is less relevant. ... show more
Reviewed in the United States on August 16, 2020 by Spenser Talkington
    • The renewed Card Works !!!
Review Image by Jerry Jerry
Review Image by Jerry Jerry
Review Image by Jerry Jerry
Review Image by Jerry Jerry
I selected one GPU out of the two in my K80 card in MATLAB, and Bench marked the Renewed K80 using the gpuBench function. It is just as expected, the performance approaches the score of K40. (I suppose the K80 is just, roughly speaking, two K40s integrated together). One inconvenience for PC users is that you need to put some really-really powerful fans to force the air flow. Another small hinder is that the GPU memory chip one the back side has no metal back-plate or heat sinks attached to it, when running the bench, they become really hot. Unless you actually put it in a server or a case with server-level air flow design, I might try to put some heat sinks on them for PC usage. But I am glad that this card work out eventually. ... show more
Reviewed in the United States on May 21, 2020 by Jerry Jerry

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