The key benefits of a GPU-sharing environment include:
- Lower TCO—A solution for running both VDI and AI workloads that shares GPU hardware significantly improves the efficiency and utilization of the resources and therefore lowers the TCO of the infrastructure. The solution provides a platform that increases GPU utilization in data centers and offers optimal utilization of GPUs, thereby eliminating the cost to invest in new GPUs.
- Improved mobility of personnel—A GPU-accelerated VDI environment offers mobility for healthcare professionals, untethering them from physical PCs, workstations, and offices, improving productivity and user experience, while reducing IT costs.
- VDI graphics and AI compute performance—The NVIDIA RTX 8000 GPU, powered by the NVIDIA Turing architecture and the NVIDIA RTX platform, combines unparalleled performance and memory capacity to deliver a powerful graphics card solution for professional workflows. The RTX 8000 is suitable for deep-learning matrix arithmetic and computations, and comes with 48 GB of DDR6 memory, which is recommended for researching extra-large computational models. This GPU features 72 RT Cores for real-time ray tracing and 576 Tensor Cores for AI enhanced workflows, resulting in over 130 TFLOPS of deep-learning performance.