NVIDIA and Google Cloud Propel AI and Industrial Digitalization with G4 VMs

NVIDIA and Google Cloud are at the forefront of revolutionizing enterprise AI and industrial digitalization through the introduction of G4 VMs, now generally available, which are powered by the NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. This development aims to transform enterprise workloads across visual computing and AI, according to NVIDIA’s blog.

Enhanced AI and Visual Computing Capabilities

The G4 VMs, equipped with the powerful RTX PRO 6000 Blackwell GPUs, are designed to handle a broad spectrum of demanding tasks. These GPUs excel in AI inference, supporting multimodal, generative, and agentic AI deployments, as well as complex visual and simulation workloads. This includes applications in computer-aided engineering, content creation, and robotics simulation.

With Google Cloud, these virtual machines can scale massively, featuring configurations with up to eight RTX PRO 6000 GPUs. This setup is complemented by 768 GB of GDDR7 memory and high-throughput storage solutions, ensuring robust performance for enterprises.

Industrial Digitalization Through Omniverse

Google Cloud users can now leverage NVIDIA Omniverse for developing industrial digitalization applications. Omniverse offers integration-ready libraries and frameworks for creating digital twins and optimizing operations. The availability of Omniverse VMI alongside G4 VMs enables enterprises to build accurate virtual replicas of factories and products, enhancing operational efficiency.

NVIDIA Isaac Sim is another tool available through this partnership, allowing for the training and simulation of AI-driven robots in virtual environments, thereby accelerating robotics development.

Comprehensive AI Solutions

NVIDIA’s software stack, accessible through Google Cloud, supports a variety of high-demand workloads. This includes agentic AI, scientific computing, and design and visual computing. The RTX PRO 6000 Blackwell GPU enhances performance across these areas, offering significant improvements in throughput for core genomics algorithms and enabling high-performance virtual workstations.

This collaboration between NVIDIA and Google Cloud establishes a unified platform that streamlines complex workflows, empowering enterprises to manage data analytics and physical AI within a consistent cloud ecosystem. Such advancements are poised to significantly impact industries like manufacturing, automotive, and logistics, driving forward the digital transformation agenda.

For more details on this development, visit the NVIDIA blog.

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