By virtualizing the GPU, each VM can have its own dedicated virtual GPU, allowing users to run graphics-intensive applications, such as video editing, 3D modeling, or gaming, within their virtual desktops.
By virtualizing the GPU, each VM can have its own dedicated virtual GPU, allowing users to run graphics-intensive applications, such as video editing, 3D modeling, or gaming, within their virtual desktops.
UP TO
48
GB GDDR6 ECC RAM
UP TO
73.1
RT Core perf. TFLOPS
UP TO
37.4
FP32 TFLOPS (nonT)
UP TO
696
GB/s memory bandwidth
When it comes to AI and ML applications, the computational demands are often intense and require powerful GPUs to accelerate training and inference tasks. Virtualizing GPUs allows organizations to leverage the benefits of GPU acceleration within virtual machines, making it possible to run AI and ML workloads on virtual desktops or in the cloud.
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