Nvidia's New GK210 GPU Powers Dual-GPU Tesla K80 For Accelerated Computing
While the new Maxwell architecture leads the company's gaming portfolio, Nvidia has re-spinned the previous-generation Kepler GPU in order to produce the GK210 that powers the new Tesla K80 card for GPGPU accelerated computing applications.
The new GK210 is a modified version of the GK110B found in the Tesla
K40, but with doubled-up register file and shared memory cache. The goal is to give applications moreresources to enable more registers per thread without compromising the total number of threads that an SMX can process, reducing latencies and improving efficiency.
K40, but with doubled-up register file and shared memory cache. The goal is to give applications moreresources to enable more registers per thread without compromising the total number of threads that an SMX can process, reducing latencies and improving efficiency.
Note that the GK210 processors in the K80 have two of their 15 SMX blocks disabled, limiting the card to 4,992 CUDA cores (2,496 per GPU). This might not look as impressive as the Titan-Z, but keep in mind that the Tesla K80 is passively-cooled, with a tighter focus on performance-per-watt and limited at a 300 Watt TDP.
on performance-per-watt and limited at a 300 Watt TDP.
Of course, the Tesla K80 has other tricks up its sleeve, like an astonishing 24 GB of total graphics memory onboard, or 12 GB per GPU. At 5 GHz effective over a 384-bit memory interface, the GDDR5 RAM provides an aggregate 480 GB/s of bandwidth (240 GB/s per GPU). It's highly doubtful that we'll see a GeForce card ever carry the GK210, but when we asked, the company didn't rule out the possibility of a future Titan card poweredby this graphics processor.
by this graphics processor.
With two GPUs, it's no surprise that performance is significantly higher than that of the single GPU-equipped Tesla K40 card released last year. The Tesla K80 is available now for "high-performance computing, computational science, supercomputing,enterprise, complex data analytics and machine learning applications", according to Nvidia. The card has no MSRP, as the company let us know that OEMs set the price, but we can expect it to be significantly more expensive than the Tesla K40 12GB card that currently ranges between $3800 and $6400 on Amazon.com.
, complex data analytics and machine learning applications", according to Nvidia. The card has no MSRP, as the company let us know that OEMs set the price, but we can expect it to be significantly more expensive than the Tesla K40 12GB card that currently ranges between $3800 and $6400 on Amazon.com.
By Don Woligroski
Tomshardware
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