Introducing Login Enterprise powered by NVIDIA nVector
May 21, 2025
A Comprehensive Overview of the Latest Integration and Its Impact on Virtual Desktop Infrastructure (VDI)
Virtual Desktop Infrastructure (VDI) has long been a cornerstone in the realm of enterprise IT solutions, providing enhanced scalability, security, and cost efficiency.
However, with the productivity workspace using more webapps, browser tabs, AI agents, and streaming video along with an increase in unified communications applications, the demand for CPU resources is impacting cost and scalability.
To provide a better user experience and increased productivity the necessity for robust GPU-enabled VDI solutions has become evident. Login Enterprise, powered by NVIDIA nVector, is designed to meet that need. This groundbreaking integration promises to redefine VDI performance and user experience by allowing organizations to find the balance between a great user experience and an improved TCO.
Overview of the Collaboration
Login Enterprise powered by NVIDIA nVector delivers automated testing and monitoring for GPU-enabled VDI environments. This advanced solution offers unique automated capabilities that assess and demonstrate graphical responsiveness and CPU offloading for mainstream and line-of-business (LOB) applications.
By leveraging NVIDIA’s cutting-edge nVector GPU and vGPU assessment technology, this collaboration between Login VSI and NVIDIA marks a significant advancement in VDI and application performance testing.
Key Benefits
Optimal GPU Profile Configuration: Identify the best GPU-enabled VDI solution for a balanced price/performance ratio.
Comprehensive Performance Analysis: Utilize NVIDIA recommended performance counters and nVector endpoint latency technology.
Enhanced Scalability: Simulate up to hundreds of virtual users to ensure the infrastructure can handle peak loads.
Improved User Experience: Monitor network latency impacts continuously to maintain a smooth user experience for demanding workloads.
Innovative Features
Login Enterprise powered by NVIDIA nVector will revolutionize how GPU performance testing is conducted by focusing on graphical latency and other key metrics to improve the overall user experience.
This combined solution allows for testing at scale, simulating hundreds of virtual users to ensure the infrastructure can handle peak loads. Additionally, continuous testing capabilities allow for monitoring the impact of network latency on graphical performance, ensuring the best user experience for graphically demanding workloads.

Figure 1 – Workload without GPU (blue line) shows peaks of high graphical latency
Comprehensive Analysis
Organizations can gain deep insights into both client and server-side performance, identifying bottlenecks and optimizing resources efficiently. Performance metrics for CPU utilization, memory utilization, GPU Usage, and GPU Memory usage are recorded for comparison.
“Click to pixel change” Latency or graphical endpoint latency and video framerate are analyzed to determine the impact of GPU and vGPU configurations.

Figure 2 – Performance charts for GPU vs non-GPU testing
Value Proposition
The value of Login Enterprise powered by NVIDIA nVector extends beyond performance enhancement. By optimizing GPU configurations, organizations can maximize their investments, improve total cost of ownership (TCO), and enhance productivity.
This solution supports modern apps and graphics-intensive workloads, offering unparalleled scalability and cost savings. It replaces subjective feedback from volunteer users with precise performance metrics.
Maximize Investments
Improve total cost of ownership (TCO) and productivity by optimizing GPU configurations. Get more out of the systems by adding GPUs or by optimizing the GPU-enabled systems already in use.
In recent testing of knowledge workers that watched streaming videos and joined Zoom calls, adding NVIDIA Virtual GPU (vGPU) software and NVIDIA A16 GPUs to a CPU-only server increased its capacity from 32 users to 64 users for business applications, streaming video and Zoom calls, while also delivering improved framerates and user experience.
Use Cases
New Deployments: Optimize cost/performance for GPU-enabled desktops in new enterprise environments with the applications you are planning to run on those VMs.
Existing Deployments: Iteratively find the optimal configuration for cost and performance using continuous monitoring and by testing your solutions after changes have been made.
Cloud Usability: Evaluate the usability of cloud environments for GPU-required workloads. Works with Citrix Virtual Apps and Desktops, Omnissa Horizon, Remote Desktop Services and Azure Virtual Desktop.
Workloads
GPU Benchmark: Push the GPU to its limits for a given workload, simulating popular professional visualization applications such as SolidWorks, Catia, Siemens NX.
Multiple Tabs and Streaming Browser: Many browsers can offload work to the GPU. Opening multiple tabs in the browser can demand significant resources. The browser can also be used to stream high-resolution and high-framerate video.
Unified Communications: Run Teams or Zoom to discover the impact these platforms have on your VDI infrastructure, especially when offloading services like WebRTC cannot be used for security or compliance reasons.
Custom Applications: Login Enterprise can run application scripts for business-critical applications. Use the Login Enterprise script-recorder to build application scripts quickly.
Try Login Enterprise powered by NVIDIA nVector today
If you’re like the enterprise organizations I’ve spoken with recently, you’re looking to optimize your GPU-enabled VDI environment—improving the remote user experience while keeping costs in check.
If that sounds familiar, reach out to us today. Try it on your environment for free
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