Does this mean I have a Nvidia GPU? - tensorflow

Question

abigail#abilina:~/nlp$ lspci
00:00.0 Host bridge: Intel Corporation Skylake Host Bridge/DRAM Registers (rev 07)
00:01.0 PCI bridge: Intel Corporation Skylake PCIe Controller (x16) (rev 07)
00:02.0 Display controller: Intel Corporation HD Graphics 530 (rev 06)
00:14.0 USB controller: Intel Corporation Sunrise Point-H USB 3.0 xHCI Controller (rev 31)
00:15.0 Signal processing controller: Intel Corporation Sunrise Point-H Serial IO I2C Controller #0 (rev 31)
00:15.1 Signal processing controller: Intel Corporation Sunrise Point-H Serial IO I2C Controller #1 (rev 31)
00:16.0 Communication controller: Intel Corporation Sunrise Point-H CSME HECI #1 (rev 31)
00:17.0 RAID bus controller: Intel Corporation SATA Controller [RAID mode] (rev 31)
00:1c.0 PCI bridge: Intel Corporation Sunrise Point-H PCI Express Root Port #2 (rev f1)
00:1c.2 PCI bridge: Intel Corporation Sunrise Point-H PCI Express Root Port #3 (rev f1)
00:1c.3 PCI bridge: Intel Corporation Sunrise Point-H PCI Express Root Port #4 (rev f1)
00:1e.0 Signal processing controller: Intel Corporation Sunrise Point-H Serial IO UART #0 (rev 31)
00:1f.0 ISA bridge: Intel Corporation Sunrise Point-H LPC Controller (rev 31)
00:1f.2 Memory controller: Intel Corporation Sunrise Point-H PMC (rev 31)
00:1f.3 Audio device: Intel Corporation Sunrise Point-H HD Audio (rev 31)
00:1f.4 SMBus: Intel Corporation Sunrise Point-H SMBus (rev 31)
**01:00.0 VGA compatible controller: NVIDIA Corporation GM107 [GeForce GTX 750 Ti] (rev a2)**
01:00.1 Audio device: NVIDIA Corporation Device 0fbc (rev a1)
02:00.0 USB controller: ASMedia Technology Inc. ASM1142 USB 3.1 Host Controller
03:00.0 Network controller: Intel Corporation Wireless 3165 (rev 79)
04:00.0 Ethernet controller: Qualcomm Atheros QCA8171 Gigabit Ethernet (rev 10)
Is the Nvidia GeForce GTX 750 Ti a GPU that can speed up deep learning?

Answer 1

To answer the question in the title: yes, you have a NVIDIA GPU, a GeForce GTX 750 Ti. You can use this GPU with TensorFlow if you install CUDA (see here for a full list of GPUs that can be used with CUDA: https://developer.nvidia.com/cuda-gpus). A detailed list of the prerequirements for the use of TensorFlow with GPUs can be found here:
https://www.tensorflow.org/install/install_linux
Have fun!