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🚀 Power your AI ambitions with Tesla K80 – where raw compute meets relentless performance!
The Dell NVIDIA Tesla K80 is a high-performance server GPU accelerator featuring 4992 CUDA cores and 24GB of GDDR5 memory. Built for professional and scientific applications, it delivers 5-10x speed boosts in AI, HPC, and simulation workloads. Designed for passive cooling in server environments, it connects via PCI-E 3.0 x16, making it ideal for demanding computational tasks rather than graphics rendering.
| ASIN | B07GJ45V3D |
| Antenna Location | Professional |
| Best Sellers Rank | 133,968 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 913 in Graphics Cards 2,156 in Renewed Computers & Accessories |
| Brand Name | Dell |
| Compatible Devices | Server |
| Country of Origin | China |
| Customer Reviews | 3.8 3.8 out of 5 stars (127) |
| Display Maximum Resolution | 4096 x 2160 |
| Graphics Card Interface | PCI-Express x16 |
| Graphics Card Ram | 24 GB |
| Graphics Coprocessor | NVIDIA Tesla K80 |
| Graphics Description | high-performance GPU accelerator for professional applications |
| Graphics Ram Type | GDDR5 |
| Item Dimensions L x W | 26.7L x 11.2W centimetres |
| Manufacturer | Dell Computers |
| Manufacturer Part Number | HHCJ6 |
| Maximum Display Resolution | 4096x2160 |
| Memory Clock Speed | 2.5 GHz |
| Model Name | HHCJ6 Dell NVIDIA Tesla K80 |
| Model Number | HHCJ6 |
| UPC | 680266196275 |
| Video Output Interface | HDMI |
| Video Processor | NVIDIA |
A**R
Dead on Arrival
Sadly I bought this card and then left it on a shelf for nearly 7 months as I was too busy to get the cooling set up for it. When I finally installed it, it not only failed to fire up but it also prevented my PC from booting - basically several hundred pounds of brick. With the time that elapsed between purchase and finding out it was worthless there wasn't much I could do - can I prove it broke itself whilst sitting in a box on the shelf? Of course not - would never touch a refurbished Amazon product again.
H**Y
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.
S**R
Leider keine aktuellen Treiber mehr, daher für aktuelle Anwendungen auch nicht mehr zu gebrauchen
C**Z
Una gráfica espectacular para Machine Learning pero, por desgracia, los drivers de la K80 son incompatibles con los de mi otra gráfica, una Nvidia Titan X Pascal de 12Gb. ¡Una verdadera pena!
C**Z
una porqueria, echa fuego y no va
J**Z
Had to redo the thermal paste on the GPU (suggest you do the same if you get one) also suggest getting fans for it as it’s built with passive cooling which is no bueno… the active cooling systems are easily found and run about $30 bucks… a bit loud but well worth it. The gpu is good for LLM local builds and some other large tasks. It functions fine and for the price I will pick three of these any day over a new 5080. Not as fast as the Nvidia Instinct but more applicable use…
Trustpilot
3 days ago
3 weeks ago