Accelerating AI-Powered Workflows with Windows 365 Cloud PCs
Accelerating AI-assisted content creation
AI enhances content creation and opens up new possibilities for innovative and captivating visual experiences. Blackmagic Design’s DaVinci Resolve offers many AI-augmented features, such as UltraNR, Super Scale, and Speed Warp, that streamline the film editing process. These AI features are accelerated by NVIDIA GPUs.
To evaluate the acceleration provided by the Windows 365 GPU-enabled Cloud PCs, we tested DaVinci Resolve’s general features (test bench) and AI-augmented features (AI test), measuring frame rate and GPU usage. Figure 1 shows that Windows 365 Enterprise GPU Max, equipped with a fully dedicated GPU, delivers a 4x performance boost when powering AI features.
Figure 1. Acceleration performance for DaVinci Resolve AI test
Jumpstarting AI development
The journey of AI development typically begins with a proof of concept (PoC) where initial ideas are tested on a smaller scale to validate their feasibility and effectiveness. This preliminary phase enables you to experiment with algorithms, assess data requirements, and refine models in a controlled environment, ultimately providing valuable insights into the potential success of the project.
Windows 365 GPU Max offers you easy access to testing grounds for generative AI, particularly with small language models, enabling rapid development cycles without the need for new infrastructure. We used a Windows 365 Enterprise GPU Max Cloud PC to deploy Phi-3-mini-4K, a 3.8B small language model, for chatbot creation.
Figure 3. SLM deployment: GPU-enabled Cloud PC vs. CPU-only Cloud PC
These results highlight how GPUs boost the efficiency of powerful Cloud PCs and shorten development time, a vital factor for developers operating in a dynamic AI landscape.
Boosting deep learning-enabled object detection in geospatial analysis
AI can significantly enhance geospatial analysis by automating the processing and interpretation of large datasets, enabling more efficient and accurate insights.
Here, we analyzed the effectiveness of GPU-enabled Cloud PCs in handling extensive datasets and performing intricate spatial calculations using ArcGIS Pro, a professional desktop geographic information system (GIS) application for exploring, visualizing, and analyzing data. We used three GPU-enabled Cloud PCs to process a pre-trained deep learning model for detecting trees on a designated satellite map.
Figure 4. Windows 365 GPU-enabled Cloud PCs accelerating ArcGIS Pro deep-learning-enabled object detection
Conclusion
These tests underscore the transformative effect of GPU-enabled Cloud PCs on enhancing computational performance across various professional domains, offering a glimpse into the future of remote, technology-driven workplaces.
Learn more and get started
Windows 365 GPU-enabled Cloud PCs enable businesses and individuals to access powerful computing resources on demand. For more information about using Cloud PCs powered by NVIDIA virtual GPU technology, see the following resources:
- https://www.nvidia.com/en-us/technology/cloud-gpu/
- https://docs.microsoft.com/en-us/azure/virtual-machines/windows/overview
If you are planning to attend Microsoft Ignite 2024, visit the NVIDIA booth to experience the demo powered by the Windows 365 GPU-enabled Cloud PCs or attend the following sessions:
