About this video:
Tesla T4 is one of the most interesting cards Nvidia is offering for AI development, due it has Tensor cores is capable of doing AI calculation 40x faster than Xeon CPUs, the small form factor and power consumption make this card stand out from its other brothers.
We are testing Tesla T4 and comparing it with normal Geforce cards like the RTX 2070 to see the real difference in Deep learning applications.
Want to test your cards for deep learning or benchmark your GPUs to see their full potential ⤵⤵⤵⤵
Download our DLBT app ➡ https://technopremium.com/
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
What is the DL Benchmark tool ( DLBT)⁉
DeepLearning Benchmark Tool is an application whose purpose is measuring the performance of particular hardware in the specific task of running a deep learning model. By running, it implies the device should do both the training of the model and the prediction while the parameters are being adjusted.
One of the main areas of application this software has is serving as a test bench for Graphical Processing Units (GPU) in the task of Machine Learning. This is mainly because, as has been shown in the last few years, these devices have a parallelism quality - GPUs can have more than 2000 cores- that makes them much better than Central Processing Units (CPU) at running Deep Learning Models. This application, however, lets the user choose whether they would prefer to run the test on a CPU or a GPU.
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬