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Is this graphic card compatible with tensorflow/GPU ?
*-display description: VGA compatible controller product: Haswell-ULT Integrated Graphics Controller vendor: Intel Corporation physical id: 2 bus info: pci@0000:00:02.0 version: 09 width: 64 bits clock: 33MHz capabilities: msi pm vga_controller bus_master cap_list rom configuration: driver=i915 latency=0 resources: irq:44 memory:c2000000-c23fffff memory:b0000000-bfffffff ioport:7000(size=64) 
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Note: TensorFlow binaries use AVX instructions which may not run on older CPUs. The following GPU-enabled devices are supported: NVIDIA® GPU card with CUDA® architectures 3.5, 5.0, 6.0, 7.0, 7.5, 8.0 and higher.
This makes the process easier and less time-consuming. The new generation of GPUs by Intel is designed to better address issues related to performance-demanding tasks such as gaming, machine learning, artificial intelligence, and so on.
Yes, You Can Run NVIDIA CUDA On Intel GPUs And Libraries For It Have Hit Github. Using a graphics processor or GPU for tasks beyond just rendering 3D graphics is how NVIDIA has made billions in the datacenter space.
Tensorflow GPU can work only if you have a CUDA enabled graphics card. All the newer NVidia graphics cards within the past three or four years have CUDA enabled.
At the moment no. Only Nvidia GPUs and (intel/amd) CPU versions are available.
They are working on an openCL compatible version of tensorflow that would be compatible and you can follow its progress here
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