Conclusion
The NVIDIA solutions for virtualized compute and graphics workloads offers unmatched flexibility and performance when paired with GPUs based on the NVIDIA Hopper, Lovelace, and Ampere architecture. The solution is designed to meet the ever-shifting workloads and organizational needs of today’s modern enterprises.
For professional visualization workloads, the optimal GPU for each class of workload is as follows:
The NVIDIA L40S is uniquely positioned to power the most demanding graphics and rendering workloads for dynamic virtual workstations.
The NVIDIA L4 offers the best performance per dollar for professional graphics workloads.
The NVIDIA A16 provides the best performance per dollar and the highest user density for infrastructures supporting knowledge worker VDI workloads.
NVIDIA GPU virtualization software products are optimized for different classes of workload. For details on how to best configure an accelerated virtualized infrastructure, refer to the sizing guidelines for these GPU virtualization software products:
Although this guide provides general guidance on how to select the right NVIDIA GPU and virtualization software for your workloads, actual results may vary depending on the specific workloads that are being virtualized. Successful customer deployments start with a proof of concept (POC) and evolve through continuous tuning throughout their lifecycle. Management and monitoring tools empower administrators and IT staff to optimize the deployment for each user. Given the diverse usage patterns of applications, we advise conducting your POC with your specific workload to accurately assess performance and suitability.
Successful NVIDIA RTX vWS deployments adhere to a structured approach to ensure a robust accelerated end-user experience:
Scope your Environment: Assess the requirements of each application and user type.
Implement Sizing Methodology: Follow NVIDIA’s recommended methodology for sizing resources.
Conduct of Proof of Concept (POC): Run POCs tailored to each deployment type to validate configurations.
Benchmark Testing: Utilize benchmarks to validate and optimize deployment performance.
Monitor Performance: Use NVIDIA-specific and industry-wide tools for continuous monitoring.
Ensure Metrics Compliance: Ensure performance and experience metrics meet acceptable thresholds.
This systematic approach helps optimize NVIDIA RTX vWS deployment for enhanced productivity and efficiency across diverse user scenarios.
NVIDIA RTX stands as the pinnacle in visual computing, spanning from cutting-edge industrial design and advanced special effects to intricate scientific visualization. Leveraging NVIDIA RTX Virtual Workstation (RTX vWS) software alongside NVIDIA GPUs enables the deployment of unparalleled virtual workstations from the cloud or data center to any device. This empowers millions of creative and technical professionals to access demanding applications remotely, handle extensive datasets, and maintain robust security protocols. Experience firsthand how NVIDIA RTX vWS software can virtualize any application with exceptional end-user performance by trying it for free today.