![]() ![]() If you have not received your license key, contact your Sales Representative Copy your license key from the registration email message. ![]() ![]() Validate your OmniSci instance with your license key. Ignore it for now you can verify CUDA driver installation at the Checkpoint. You might see a warning similar to the following: Reboot your system to ensure that all changes are active.Install the rpm file sudo rpm -install vulkan-filesystem-1.1.73.If installing on RHEL, you need to obtain and install the Install CUDA per the instructions on the NVIDIA website.Version ( 7), and installer type (OmniSci recommends rpm (network)). Select the target platform by selecting the operating system ( Linux),Īrchitecture (based on your environment), distribution ( CentOS or RHEL),.Use the name of the kernel ( 3.10.0-862.11.6.el7.x86_64 in the following code example) to install kernel headers and development packages:.Identify the Linux kernel you are using by issuing the uname -r command.If this procedure to install kernel headers does not work correctly, follow these steps instead: Reboot your system to ensure that the kernel is up to date:.Sudo yum install kernel-devel-$(uname -r) kernel-headers-$(uname -r) Install kernel headers and development packages:.For more information on CUDA unrelated to installing OmniSci, see. The CUDA platform provides direct access to the GPU virtual instruction set and parallel computation elements. It uses a CUDA-enabled graphics processing unit (GPU) for general purpose processing. CUDA is a parallel computing platform and application programming interface (API) model. ![]()
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