Skip to main content
  1. Home
  2. Computing
  3. Legacy Archives

Nvidia’s Tesla K80 is a dual-GPU monster made to master fields like physics, and engineering

Nvidia's Tesla K80 dual-GPU card makes your current graphics chip look like child's play

Add as a preferred source on Google

Now that Nvidia has seized the undisputed desktop and laptop graphics speed crowns recently with the launch of its 900 and 900M-series GPUs, Nvidia has its sights set on conquering the world of supercomputing.

With that goal in mind, Nvidia has just taken the wraps off the Tesla K80, a dual-GPU card which is meant for use in fields like data analytics, scientific computing, and more.

Recommended Videos

Whereas the consumer-oriented GeForce GTX 980 can barely deliver five teraflops of single-precision computing performance, the K80 reaches top speeds of just under nine teraflops.

A teraflop, mind you, refers to a trillion floating point operations per second. Yes, a trillion. Per second.

Now, wipe the drool from your chin.

The Tesla K80 juggles two Kepler GK210 GPUs, and supports up to 12GB of GDDR5 memory on each graphics processing unit for a grand total of 24GB. That’s some obscenely powerful hardware.

According to Nvidia, the above specs, plus 480 GB/s of memory bandwidth, 4,992 CUDA parallel processing cores, and custom technologies like Dynamic Nvidia GPU Boost, and Dynamic Parallelism allows the K80 to heavily outpace the best hardware around. Nvidia says that the Tesla K80 is ten times faster than the best CPU as well.

According to a graph on Nvidia’s website, the Tesla K80 significantly out-guns its predecessor, the Telsa K40. The graph also compares the two against an Intel Xeon E5-2697 processor, which currently costs over $2,500.

Benchmark performance shows that the K80 is in a league of its own, whether you’re talking about disciplines like chemistry, and physics, or fields like machine learning. Simply put, the K80 dominates in all of these areas, but it will be up to independent testing to verify its prowess.

Designed to work in heavy duty areas including astrophysics, genomics, and quantum chemistry research, Nvidia hopes to super-charge countless servers with the Tesla K80 dual-GPU card. Machines equipped with K80s could help propel scientific discovery even further forward.

A multitude of companies that make servers, including Asus, Bull, Cirrascale, Cray, Dell, Gigabyte, HP, Inspur, Penguin, Quanta, Sugon, Supermicro and Tyan, will sell Nvidia’s beast of a graphics card.

Pricing details aren’t public yet, but servers with the Tesla K80 inside should go on sale sometime in the near future.

Adrian Diaconescu
Former Digital Trends Contributor
Adrian is a mobile aficionado since the days of the Nokia 3310, and a PC enthusiast since Windows 98. Later, he discovered…
What is Copilot? Everything you need to know about Microsoft’s AI assistant
There’s a Copilot for almost everything now. Here’s which one you need
Microsoft Copilot Banner Featured

Microsoft has attached the Copilot name to so many products that a simple question like "What is Copilot?" now needs a little more context. There is the main Microsoft Copilot chatbot, Copilot inside Microsoft 365, GitHub Copilot for developers, Gaming Copilot for Xbox users, and a separate category of Windows laptops called Copilot+ PCs.

For most people, Microsoft Copilot means the company’s general-purpose AI assistant. So you'd expect it to answer questions, search the web, generate and edit images, and the rest of the usual AI chatbot features. You can access it through a browser or dedicated apps for Windows, macOS, Android, and iOS. It is also integrated into Microsoft Edge, the Xbox mobile app, and Game Bar on Windows 11.

Read more
I tried to parody the most absurd AI products, but the tech industry beat me to it
The joke was supposed to be that every household object gets cameras, AI insights, and a premium tier. Apparently, that’s now a business plan
Imaginary AI products

I wanted to invent an AI product so silly that no founder could turn it into a seed round.

It had to solve a problem nobody had, collect far more data than the problem deserved, and turn normal behavior into an insight that sounded vaguely disappointed in its owner. Somewhere around the third feature, it would ask for a subscription.

Read more
I spent a fortune on a Copilot+ PC, and I’ve barely ever touched Microsoft’s AI
Microsoft needs to give Copilot+ PC owners a reason to use Copilot
Copilot

There is a dedicated Copilot key on my ASUS Zenbook 14 OLED. Months after buying the laptop, it may be one of the least important keys on the entire keyboard. My Zenbook UM3406 runs on AMD’s Ryzen AI 300 series processor, complete with a dedicated NPU offering up to 50 TOPS of AI performance. That qualifies it as a Copilot+ PC, which makes it a part of what Microsoft once described as the new era for Windows.

AI is already a regular part of my workday. I use it for research, brainstorming, and working through ideas. But rather than relying on something built into the Windows OS, I've relied on the likes of ChatGPT, Claude, and Gemini.

Read more