NVIDIA Tesla K-80 with Full Cover Waterblock

Name: NVIDIA Tesla K-80 with Full Cover Waterblock
Brand: NVIDIA
Price: 750.0 USD
Availability: InStock
Rating: 4.57 (14 reviews)

mineys

(21)

Seller's other items

Contact seller

US $750.00

or Best Offer

as low as $69.47/mo with

Condition:

Used

Additional service available

People want this. 13 people are watching this.

Shipping:

Free USPS Priority Mail®.

Located in: San Francisco, California, United States

Delivery:

Estimated between Thu, Jul 3 and Tue, Jul 8 to 94104

Returns:

Seller does not accept returns.

Payments:

As low as $69.47/mo with Klarna.

*No Interest if paid in full in 6 months on $149+. See terms and apply now- for PayPal Credit, opens in a new window or tab

Earn up to 5x points when you use your eBay Mastercard®. Learn moreabout earning points with eBay Mastercard

Shop with confidence

eBay Money Back Guarantee

Get the item you ordered or your money back. Learn moreeBay Money Back Guarantee - opens new window or tab

Report this item - opens in new window or tab

Seller assumes all responsibility for this listing.

eBay item number:323901382056

Last updated on Apr 01, 2021 08:18:06 PDTView all revisionsView all revisions

Item specifics

Condition: Used: An item that has been used previously. The item may have some signs of cosmetic wear, but is ...

Modified Item: Yes

Graphics/Video Card Height: Standard (Full-Height)

Compatible Slot: PCI Express 3.0 x16

Country/Region of Manufacture: China

Appropriate For: Deep Learning, Graphic Design

Chipset/GPU Manufacturer: NVIDIA

UPC: 0885782537346

EAN: 0885782537346

Brand: NVIDIA

Chipset Manufacturer: NVIDIA

Memory Size: 24 GB

Item Height: 4.4 in

Power Cable Requirement: 8-Pin PCI-E

MPN: 900-22080-0000-000

Item Length: 10.5 in

Cooling Component Included: None/Video Card only

Memory Type: GDDR5

Chipset/GPU Model: NVIDIA Tesla K80

About this product

Product Identifiers

Brand

NVIDIA

MPN

900-22080-0000-000

UPC

0885782537346

eBay Product ID (ePID)

218398338

Product Key Features

Memory Type

GDDR5

Memory Size

24 GB

Chipset/GPU Model

NVIDIA Tesla K80

Chipset Manufacturer

NVIDIA

Cooling Component Included

None/Video Card only

Power Cable Requirement

8-Pin PCI-E

Dimensions

Item Length

10.5 in

Item Height

4.4 in

Additional Product Features

Humidity Range Operating

5-90%

MAX Operating Temperature_Display

45°C

Graphics Processor

Nvidia Kepler

Compatibility

Min Operating Temperature_Display

0°C

Memory Technology

GDDR5

Graphics Processor Brand

Nvidia

Model

K80

Product Line

NVIDIA Tesla

Item description from the seller

About this seller

Joined Nov 2007

Seller's other items Contact

Seller Feedback

No feedback yet

Product ratings and reviews

Learn more

4.6

14 product ratings

10 users rated this 5 out of 5 stars
2 users rated this 4 out of 5 stars
2 users rated this 3 out of 5 stars
0 users rated this 2 out of 5 stars
0 users rated this 1 out of 5 stars

Good value

Quiet

Performs well

Most relevant reviews

See all 12 reviews

by machine_a_coudre
Feb 16, 2021Top favorable review
Amazing GPU for computing only - beware that cooling it properly is a challenge
NVIDIA K80 was the most powerful GPU when it appeared on the market in 2015. Since them a lot of new products have been made, but this one remains extermely fast despite being 6 years old. Essentiallly more than 4000 Cuda Cores and 24 Gigs of RAM. It is a great product for neural networlks and deep learning programming, but there are a few important facts for the ones who want to use it on a regular computer. 1. This is a GPU which has no display port. It has 24 gigs of video memory (5th gen) and runs on PCIe 3.0 but one cannot connect a screen to it. So the computer which runs it needs another GPU to connect the screen, meaning the motherboard has to support two GPUs, which is not always the case. 2. The motherboard has to support PCIe that can do above 4G Decoding, this is usually a ... NVIDIA K80 was the most powerful GPU when it appeared on the market in 2015. Since them a lot of new products have been made, but this one remains extermely fast despite being 6 years old. Essentiallly more than 4000 Cuda Cores and 24 Gigs of RAM. It is a great product for neural networlks and deep learning programming, but there are a few important facts for the ones who want to use it on a regular computer. 1. This is a GPU which has no display port. It has 24 gigs of video memory (5th gen) and runs on PCIe 3.0 but one cannot connect a screen to it. So the computer which runs it needs another GPU to connect the screen, meaning the motherboard has to support two GPUs, which is not always the case. 2. The motherboard has to support PCIe that can do above 4G Decoding, this is usually a configuration option on the PCIe or on the GPU part of the BIOS, typically in the advanced options. Without this switched on the computer will not even boot. This option is never set to on by default on a motherboard, so after putting this card on a machine, the machine will not boot and it is normal - find if the motherboard supports it before buying. 3. Cooling this GPU is a challenge. This GPU uses 300 Watt when used at max speed, but it will still use approx 70 Watt when not used, which means it will heat up to a level that will force a computer shut down if the cooling has not been set up properly. The cooling of a usual PC will not do anything because the card is enclosed so the cooling of the computer case is not enough. There are several Youtube videos on how to cool the K80, but the challenge is to make it practical: not too big to fit into the PC, but with enough airflow to evacuate 300 Watts of power. The air flow has to be directed to go through the card and exit the machine through the side where the display port is usally placed. 4. Cooling it down: my experience is that we need a fan which can move aprox 280 cubic meters per hour to fully cool it down - i.e. exploit its massive power at max speed for long periods of time. Otherwise the GPU willl self adjust to a lower speed or even turn off the PC if it gets too warm. It is not easy to create a device to push or pull the air thourhg it because of its narrow shape, but this is not impossible - be creative and get materials in a DIY shop. My own set up uses a Noctua 140 mm Industrial grade fan that can spin at 3000 rpm. 5. Cooling it down: there are alternative cooling devices that are supposed to be "universal" for any GPU. But this one is special, it is actually two GPUs in one, so the cooling requires a device that can actually cool down two GPUs in a very narrow space. I have not tried them but it seemed to me they would not work. 6. Cooling it down if you have money: I have not tried but the best way seems to be watercooling. There is one Chineese supplier of a waterbox designed for the K80 which still sell it on AliExpress. Other waterboxes may work as well, depending on their shape and cooling capacity. But this is expensive, it requires a waterbox, a pump, a reservoir, a radioator, etc. 7. It is actually two GPUs in one, each with 12 Gigs or RAM. Depending on application design it may not matter, but two devices with 12 Gigs of RAM is not exactly one with 24 Gigs. 8. Energy consumption: this draws 300 Watts, so be sure to have enough power 9. Space and weight: this is large (27 cm) and heavy (1.4 Kg) so only modern motherboards which are designed for the last generation NVIDIA or AMD GPUS will accept it - anyways only modern motherboards can do the aboce 4G decoding so check the motherboard specs before buying. 10. Noise can be an issue if not water cooled. In my set up the Noctua 140 mm industrial fan has keep running at 900 rpm to cool it down when not used - which is OK, sounds like a normal computer - but at full capacity the Noctua runs at 3000 rmp which is noisy. I have not tried the watercooling which should be better. Unplug the card if not used to avoid the energy consumption and the noise. 11. That's a very good piece of hardware, high quality from every angle, very stable computing power, 12. This was originally designed for purpose made hardware, not to be put on a private PC. It only works with windows 10 or windows server. Download the driver on the NVIDIA website and keep it in a safe place, this may go out of support one day. No Linux version as far as I know. But for me no problem on that side, I am running it on Windows 10 Pro - I guess it works on Windows 10 Home. Check on NVIDIA website to be sure.
Verified purchase: YesCondition: Pre-OwnedSold by: ebl2018
by danw8643
May 06, 2025Top critical review
Still attempting to see it work. I have ...
Still attempting to see it work. I have attempted to use it in several computers. Unit is visible by bios in all cases and visible by ubuntu and linuxmint. But not usable in any case. Just purchase cbus/PCIE kits for external hookup. Drivers appear to be key issue at Bios level. I bought these and an HPE Proliant server to see if I can get it working. AI is slow but not unusable just with Proliant 32 core unit. Hope to get more speed soonStill attempting to see it work. I have attempted to use it in several computers. Unit is visible by bios in all cases and visible by ubuntu and linuxmint. But not usable in any case. Just purchase cbus/PCIE kits for external hookup. Drivers appear to be key issue at Bios level. I bought these and an HPE Proliant server to see if I can get it working. AI is slow but not unusable just with Proliant 32 core unit. Hope to get more speed soon
Verified purchase: YesCondition: Pre-OwnedSold by: linkeet
by can7824
May 25, 2021
It takes a lot to set it up, but then it can give a lot back.
It gets hot, so you'll need a lot of cooling, the drivers were rather complicated because I'm using a Quadro p400 for display, and so i needed to use cuda toolkit intead of normal drivers.
Verified purchase: YesCondition: Pre-Owned
by rafylinux5
Sep 22, 2020
Excellent accelerator card.
It starte to work inmediately. My system has a Nvidia 8g card. This is a great investment. A lot of fun comming my computational way!!
Verified purchase: YesCondition: Pre-OwnedSold by: fbkingdom
by split-vision
Feb 21, 2025
did not work with my computer system; ch...
did not work with my computer system; changed my mind and will return item
Verified purchase: YesCondition: Pre-OwnedSold by: linkeet

NVIDIA Tesla K-80 with Full Cover Waterblock

Additional service available

Shop with confidence

Item specifics

About this product

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Item description from the seller

mineys

1 item sold

Seller Feedback

Product ratings and reviews

Most relevant reviews

Amazing GPU for computing only - beware that cooling it properly is a challenge

Still attempting to see it work. I have ...

It takes a lot to set it up, but then it can give a lot back.

Excellent accelerator card.

did not work with my computer system; ch...

More to explore :

Shop Top Sellers and Highly Rated Products in Graphics/Video Cards

Best Sellers

Top Rated

mineys

1 item sold

Seller Feedback

Picture 1 of 5

NVIDIA Tesla K-80 with Full Cover Waterblock

Additional service available

Shop with confidence

Item specifics

About this product

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Item description from the seller

mineys

1 item sold

Seller Feedback

Product ratings and reviews

Most relevant reviews

Amazing GPU for computing only - beware that cooling it properly is a challenge

Still attempting to see it work. I have ...

It takes a lot to set it up, but then it can give a lot back.

Excellent accelerator card.

did not work with my computer system; ch...

More to explore :

Shop Top Sellers and Highly Rated Products in Graphics/Video Cards

Best Sellers

Top Rated

Related Searches

Seller Feedback