4 ms·
I'm not sure any of this is accurate. 8 bit inference on a 4090 can do 660 Tflops and on an H100 can do 2 Pflops. Not to mention, there is no native support for
by varunkmohan 4y ago
I'm not sure any of this is accurate. 8 bit inference on a 4090 can do 660 Tflops and on an H100 can do 2 Pflops. Not to mention, there is no native support for FP8 (which are significantly better for deep learning) on existing CPUs.
The memory on a 4090 can serve extremely large models. Currently, int4 is started to become proven out. With 24GB of memory, you can serve 40 billion parameter models. That coupled with the fact that GPU memory bandwidth is significantly higher than CPU memory bandwidth means that CPUs should rarely ever be cheaper / lower latency than GPUs.