Anandtech has some compute benchmarks for the 980: http://www.anandtech.com/show/8526/nvidia-geforce-gtx-980-review/20 http://www.anandtech.com/show/8526/nvidia

Anandtech has some compute benchmarks for the 980: http://www.anandtech.com/show/8526/nvidia-geforce-gtx-980-review/20 http://www.anandtech.com/show/8526/nvidia-geforce-gtx-980-re... unfortunately I don't know which of these are representative of typical deep learning workloads, i.e. lots of GEMM calls, basically. A discussion about this is ongoing on the G+ Deep Learning community as well: https://plus.google.com/+SanderDieleman/posts/7ua9oCdRFV7 https://plus.google.com/+SanderDieleman/posts/7ua9oCdRFV7 This thread on the NVIDIA forums is also interesting, someone mentions they achieved > 6 TFlops for SGEMM on an overclocked GTX 980: https://devtalk.nvidia.com/default/topic/776043/cuda-programming-and-performance/whats-new-in-maxwell-sm_52-gtx-9xx-/2/ https://devtalk.nvidia.com/default/topic/776043/cuda-program...