Nvidia K80 Vs Titan X

The k40 k80 m40 and m60 are old gpus and have been discontinued since 2016.

Nvidia k80 vs titan x. From the most high end nvidia s tesla product line currently tesla k40 is on top using a gk110 core 2880 cuda cores 12gb memory and the new tesla k80 is rumored to be featured dual core gk110 core we can say gtx titan z professional edition using the same pcb 2 gk110 cores 5760 cuda cores consumer grade titan z memory capacity is 12gb it is not clear whether the memory capacity will. Titan x pascal it used to be the best consumer gpu nvidia had to offer. In terms of raw performance the titan x and 1080 ti have more flops per gpu. Nvidia geforce gtx titan x.

However when put side by side the tesla consumes less power and generates less heat. M60 k80 m40 k40. The new gtx titan x is based on the same maxwell architecture as its market leading sibling the gtx 980. Nvidia geforce rtx 2080 ti founders edition.

Compared to the kepler generation flagship tesla k80 the p100 provides 1 6x more gflops double precision float. I ll quickly answer the original question before moving onto the gpus of 2019. We calculate effective 3d speed which estimates gaming performance for the top 12 games effective speed is adjusted by current prices to yield value for money our figures are checked against thousands of individual user ratings the customizable table below combines these factors to bring you the definitive list of top gpus. K80 seems to have higher double precision flops for titan x 1080ti.

Tesla gpus this includes k40 k80 which is 2x k40 in one p100 and others you might already be using these via amazon web services google cloud platform or another cloud provider. They are significantly cheaper 1000 vs 4000. From fastest to slowest. Made obsolete by 1080 ti which has the same specs and is 40 cheaper.

Here s an update for april 2019. Nvidia s pascal generation gpus in particular the flagship compute grade gpu p100 is said to be a game changer for compute intensive applications. For example the geforce gtx titan x is popular for desktop deep learning workloads. In server deployments the tesla p40 gpu provides matching performance and double the memory capacity.