TLDR
- G4 VMs debut with Blackwell GPUs, boosting enterprise AI and simulation.
- Scalable G4 VMs enhance AI, design, and analytics in the cloud.
- Omniverse on Google Cloud brings digital twins and robotics to life.
- Fractional GPU options optimize costs for diverse AI workloads.
- G4 and Omniverse unite for the future of industrial digitalization.
NVIDIA and Google Cloud have launched the G4 virtual machines to transform enterprise AI and simulation workloads. The G4 VMs run on NVIDIA RTX PRO 6000 Blackwell GPUs, offering exceptional compute power and visual performance. This collaboration expands enterprise access to accelerated computing for industries such as manufacturing, automotive, and logistics.
The G4 platform provides scalable configurations with up to eight GPUs and 768 GB of GDDR7 memory. It delivers massive throughput improvements and enhanced efficiency for multimodal, generative, and simulation-based workloads. The system integrates seamlessly with Google Cloud’s AI Hypercomputer services, including Vertex AI and Google Kubernetes Engine.
This partnership marks a significant milestone in cloud computing by enabling enterprises to deploy complex AI and design workloads more efficiently. It also strengthens Google Cloud’s position in delivering high-performance GPU infrastructure at global scale.
G4 VM: The Universal Engine for AI and Visual Computing
The NVIDIA RTX PRO 6000 Blackwell GPU powers the new G4 VMs with Fifth-Generation Tensor Cores and Fourth-Generation RT Cores. These engines enhance AI inference performance while enabling real-time ray tracing for photorealistic visualizations. Additionally, users can configure VMs for large-scale data analytics and advanced simulations.
The G4 supports a wide range of engineering and creative tools like Blender, AutoCAD, and SolidWorks. This flexibility allows enterprises to handle design and simulation workloads with greater precision and responsiveness. The platform simplifies the management of machine learning operations across diverse pipelines.
Enterprises can also utilize fractional GPU options soon, ensuring efficient resource usage for smaller workloads. This modular approach optimizes price-performance and reduces computational waste. As a result, G4 VMs represent a unified and efficient infrastructure for AI, analytics, and visualization.
Omniverse and Physical AI Drive Industrial Digitalization
NVIDIA Omniverse is now available on the Google Cloud Marketplace as a virtual machine image. It enables enterprises to develop digital twins and simulation applications using OpenUSD-based frameworks. Through Omniverse, users can build physically accurate virtual environments to optimize real-world operations.
The integration of NVIDIA Isaac Sim accelerates robotics development with physics-based virtual testing environments. Developers can train and simulate AI-driven robots before deploying them in production. Businesses can reduce risk while enhancing performance in manufacturing and logistics.
This combination of Omniverse and G4 VMs establishes a scalable foundation for industrial digitalization. It empowers companies to accelerate design, simulation, and robotics applications across distributed cloud environments. NVIDIA and Google Cloud have redefined enterprise AI infrastructure through an end-to-end, performance-driven platform.
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