Undergraduate Student at University of Petroleum and Energy Studies
Real User
Top 5
Jun 23, 2026
I use NVIDIA RTX Virtual Workstation for smooth remote graphics performance and for providing efficient GPU resource support to demanding professional applications. In a recent project I was doing with 3D modeling and CAD models, NVIDIA RTX Virtual Workstation and NVIDIA GPU made the rendering very smooth. Accessing resources for deep learning and model training is another way I have used NVIDIA RTX Virtual Workstation.
My main use case for NVIDIA RTX Virtual Workstation involves using it for AI inference and also training LoRAs or fine-tuning models, where I am using generative AI for images and video using inference tools like ComfyUI and other Windows-based tools, and I am also trying to fine-tune certain models. NVIDIA RTX Virtual Workstation helps with my generative AI workflows by coming pre-loaded with the right drivers, and I use the CUDA toolkit and ComfyUI mostly for inference while utilizing open models. For audio tools, I am fine-tuning the model that is also open source, which makes stability and predictability the best aspects for my use case. I use all these generative AIs on my projects as well as my clients' projects, and I even fine-tune from the results and data provided by the client.
Learn what your peers think about NVIDIA RTX Virtual Workstation. Get advice and tips from experienced pros sharing their opinions. Updated: July 2026.
NVIDIA RTX Virtual Workstation transforms digital workflows by providing high-performance graphics and compute capabilities via the cloud, enhancing collaboration and offering remarkable flexibility.
RTX Virtual Workstation empowers professionals with access to powerful virtual GPUs, enabling the handling of complex tasks across design, engineering, architecture, and media production without the constraints of physical hardware. It allows teams to work from any location with seamless access...
I use NVIDIA RTX Virtual Workstation for smooth remote graphics performance and for providing efficient GPU resource support to demanding professional applications. In a recent project I was doing with 3D modeling and CAD models, NVIDIA RTX Virtual Workstation and NVIDIA GPU made the rendering very smooth. Accessing resources for deep learning and model training is another way I have used NVIDIA RTX Virtual Workstation.
My main use case for NVIDIA RTX Virtual Workstation involves using it for AI inference and also training LoRAs or fine-tuning models, where I am using generative AI for images and video using inference tools like ComfyUI and other Windows-based tools, and I am also trying to fine-tune certain models. NVIDIA RTX Virtual Workstation helps with my generative AI workflows by coming pre-loaded with the right drivers, and I use the CUDA toolkit and ComfyUI mostly for inference while utilizing open models. For audio tools, I am fine-tuning the model that is also open source, which makes stability and predictability the best aspects for my use case. I use all these generative AIs on my projects as well as my clients' projects, and I even fine-tune from the results and data provided by the client.