Digital Event Horizon
NVIDIA and Google Cloud have unveiled a revolutionary AI infrastructure for industrial and physical AI applications, enabling customers to harness the power of AI while ensuring security and performance. The collaboration brings together cutting-edge technologies from both companies, transforming the way industries approach AI innovation.
NVIDIA partners with Google Cloud to revolutionize industrial and physical AI applications. Preview of Confidential G4 VMs with NVIDIA RTX PRO 6000 Blackwell GPUs in the public cloud. NVIDIA platform on Google Cloud optimizes for every type of model, from Google's frontier Gemini and Gemma families to open models. Managed Training Clusters on Gemini Enterprise Agent Platform accelerates RL training at scale. Cybersecurity leader CrowdStrike uses capabilities to accelerate threat detection and response. Mainstreaming industrial and physical AI applications through NVIDIA's AI infrastructure and open models. Availability of NVIDIA Omniverse libraries and Isaac Sim robotics simulation framework on Google Cloud Marketplace. Global enterprises, AI labs, and high-growth startups using NVIDIA and Google Cloud's co-engineered platform for prototyping to production.
NVIDIA, a leading innovator in artificial intelligence (AI) computing, has partnered with Google Cloud to revolutionize the way industries approach industrial and physical AI applications. The collaboration brings together NVIDIA's cutting-edge technologies, including Confidential Computing with the NVIDIA Blackwell platform, Open Models and APIs for Agentic AI, Building the Future of Industrial and Physical AI, and Proven Impact: From Startups to Global Enterprises.
The first major announcement from this partnership is the preview of Confidential G4 VMs with NVIDIA RTX PRO 6000 Blackwell GPUs in the public cloud. This move marks a significant step towards securing AI models and data in multi-tenant environments, allowing customers in regulated industries to harness the power of AI without compromising on security or performance.
In addition to this milestone, NVIDIA's platform on Google Cloud is optimized to run every type of model, from Google's frontier Gemini and Gemma families to NVIDIA Nematron open models and the broader open weight ecosystem. This equips developers with the tools necessary to build agentic AI systems that reason, plan, and act.
Furthermore, the collaboration has introduced Managed Training Clusters on Gemini Enterprise Agent Platform, which includes a new managed reinforcement learning (RL) API built with NVIDIA NeMo RL for accelerating RL training at scale while automating cluster sizing, failure recovery, and job execution. This enables teams to focus on agent behavior and model quality rather than infrastructure management.
Cybersecurity leader CrowdStrike is already utilizing these capabilities by generating synthetic data and fine-tuning Nematron and other open large language models for domain-specific cybersecurity using NVIDIA NeMo open libraries. Running on Managed Training Clusters with NVIDIA Blackwell GPUs, these capabilities accelerate threat detection, investigation, and response.
The partnership also highlights the importance of building industrial and physical AI at scale. NVIDIA's AI infrastructure, open models, and physical AI libraries available on Google Cloud are mainstreaming industrial and physical AI applications, enabling customers to simulate, optimize, and automate real-world workflows. This includes powering the next-generation design, engineering, and manufacturing of everything from chips to autonomous vehicles, robotics, aerospace platforms, heavy machinery, and large-scale production systems.
Moreover, NVIDIA Omniverse libraries and the open-source NVIDIA Isaac Sim robotics simulation framework are available on Google Cloud Marketplace, allowing developers to build physically accurate digital twins and develop custom robotics simulations pipelines. This enables robots and vision AI agents to see, reason, and act in the physical world like humans, powering use cases such as automated data curation and annotation, advanced robot planning and reasoning, and intelligent video analytics agents for real-time insights and decision-making.
The collaboration also highlights the impact of this partnership on global enterprises, AI labs, and high-growth startups. These organizations are using NVIDIA and Google Cloud's co-engineered platform to move from prototyping to production faster. Snap is cutting the cost of large-scale A/B testing by shifting data pipelines to GPU-accelerated Spark on Google Cloud. Schrödinger is shrinking weeklong drug discovery simulations into just hours with NVIDIA accelerated computing on Google Cloud.
Startups, such as CodeRabbit and Factory, are also orchestrating the next wave of AI innovation by building new agents and AI-native applications using NVIDIA accelerated computing on Google Cloud. Aible, Mantis AI, Photoroom, and Baseten are building enterprise data, video intelligence, generative imagery, and managed inference solutions on the full-stack NVIDIA platform on Google Cloud.
As part of a broader ecosystem highlighted through NVIDIA Inception and Google for Startups, over 90,000 developers have become part of the joint NVIDIA and Google Cloud developer community in just over a year. This community is tapping into this platform to build and scale new AI applications.
In recognition of their deep technical expertise and go-to-market alignment, NVIDIA has been honored at Next as Google Cloud Partner of the Year in two categories: AI Global Technology Partner and Infra Modernization Compute.
Together, NVIDIA and Google Cloud are giving customers a cloud-scale platform to turn experimental agents and simulations into production systems that review code, secure fleets, enable new AI applications, and optimize factories in the real world. Learn more about this partnership by attending NVIDIA sessions, demos, and workshops at Google Cloud Next.
Related Information:
https://www.digitaleventhorizon.com/articles/NVIDIA-and-Google-Cloud-Unveil-Revolutionary-AI-Infrastructure-for-Industrial-and-Physical-AI-Applications-deh.shtml
https://blogs.nvidia.com/blog/google-cloud-agentic-physical-ai-factories/
https://www.roic.ai/news/nvidia-and-google-deepen-ai-alliance-to-accelerate-agentic-and-physical-systems-04-22-2026
Published: Wed Apr 22 09:59:21 2026 by llama3.2 3B Q4_K_M
