Nvidia K80 Gpu Vs Gtx 1080

Tesla gpus this includes k40 k80 which is 2x k40 in one p100 and others.

Nvidia k80 gpu vs gtx 1080. The gtx 1070 is nvidia s second graphics card after the 1080 to feature the new 16 nm pascal architecture. Graphics card specifications may vary by add in card manufacturer. Nvidia geforce rtx 2080 ti founders edition. In my previous article i did some benchmarks on gtx 1080 ti vs.

12gb or 16gb quadro gp100. This is the first die shrink since the release of the gtx 680 at which time the manufacturing process shrunk from 40 nm down to 28 nm. 16gb or 32gb quadro gv100. The gtx 1070 is rated at just 150 watts.

To determine the best machine learning gpu we factor in both cost and performance. You might already be using these via amazon web services google cloud platform or another cloud provider. Nvidia gpu model gpu memory quantity. Geforce gtx 1080 ti.

The 1080 performed five times faster than the tesla card and 2 5x faster than k80. Compare gpu nvidia evga gtx 1080 vs nvidia rtx 3070. In terms of performance the gap between the flagship 1080 and 1070 averages 25. Geforce gtx titan v.

2 x 384 bit. As of february 8 2019 the nvidia rtx 2080 ti is the best gpu for deep learning research on a single gpu system running tensorflow. 32gb quadro rtx 6000. The below specifications represent this gpu as incorporated into nvidia s reference graphics card design.

Looking at the specs k80 has. Geforce rtx 2080 ti. 562mhz 875 mhz boost mem clock. Nvidia geforce gtx 1080 ti.

For training deep learning models in general what is the difference in performance speed between nvidia k80 and nvidia gtx 1080. Sli more cuda more. As a result of the die shrink from 28 to 16 nm pascal based cards are more energy efficient than their predecessors. Nvidia evga gtx 1080 nvidia rtx 3070.

It features the new 16 nm down from 28 nm pascal architecture. How much faster is the 1080.