![]() ![]() With enhancements to Nvidia GRID vGPU technology in vSphere 6.7, instead of having to power off workloads running on GPUs, we can simply suspend and resume those VMs, allowing better lifecycle management of the underlying host and significantly reducing the disruption of service for end-users. VMware announced vSphere 6.7 which enhanced the support and capabilities for GPUs by virtualizing Nvidia GPUs also for non-VDI and non-general-purpose-computing use cases like artificial intelligence, machine learning, big data and more. NVIDIA vGPU provides VMs with unparalleled graphics performance, compute performance, and application compatibility, with the cost-effectiveness and scalability by sharing a GPU among multiple workloads.īy using the NVIDIA GRID vGPU technology with vSphere, we can dedicate one full GPU device to a single Virtual Machine, or we can also share a GPU device across multiple VMs, using vGPU profiles. ![]() NVIDIA Virtual GPU (vGPU) enables multiple virtual machines to have simultaneous, direct access to a single physical GPU, using the same NVIDIA graphics drivers. Recently VMware announced vSphere 6.7 U3 with some cool new features and enhancements which talks about driver updates and also focuses on vGPU enhancements which helps accelerate machine learning tasks. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |