4 ms·
1) not true. I have one and hit 100TFLOPS with large enough batches in fp32 accumulate mode. Other benchmarks agree, so I'm not sure what numbers you're suggest
by shaklee3 7y ago
1) not true. I have one and hit 100TFLOPS with large enough batches in fp32 accumulate mode. Other benchmarks agree, so I'm not sure what numbers you're suggesting.
4) maybe get a cluster of Jetsons?
- m0zg 7y agohttps://arxiv.org/pdf/1803.04014.pdf https://arxiv.org/pdf/1803.04014.pdf - no matter what they did, they could not go beyond 83TFLOPs in fp16. And that's just matrix multiply. Any kind of deep learning workload is going to be a lot slower than that.
- shaklee3 7y agoI have results showing otherwise. Maybe an old cuda? Here is anandtech showing almost 100TFLOPS, and they didn't every try hard to tune it: https://www.anandtech.com/show/12170/nvidia-titan-v-preview-titanomachy/4 https://www.anandtech.com/show/12170/nvidia-titan-v-preview-...