Zhi Tong Cai Jing·2025-10-21 02:51Core Insights - Google Cloud has officially launched its Google Cloud G4 VMs, powered by NVIDIA's RTX PRO 6000 Blackwell GPUs, aimed at enhancing AI applications across various industries [1][2][3] - The G4 VMs offer up to 9 times the throughput compared to the previous G2 platform, significantly improving performance for multimodal AI workloads and complex simulations [2][5] - NVIDIA's Omniverse and Isaac Sim platforms are now available on Google Cloud Marketplace, providing essential tools for industries like manufacturing and logistics [2][6] Product Features - The G4 VMs utilize NVIDIA's RTX PRO 6000 Blackwell GPUs, which feature fifth-generation Tensor Cores and fourth-generation RT Cores, enhancing AI performance and real-time ray tracing capabilities [3][5] - The integration of Google Kubernetes Engine and Vertex AI simplifies the deployment of containerized applications and machine learning operations for physical AI workloads [3][4] - G4 VMs are designed to cater to a broader range of enterprise workloads, particularly those requiring low-latency AI inference and digital twin simulations [5][6] Market Impact - The introduction of G4 VMs is expected to drive significant growth for both Google and NVIDIA, as they establish a comprehensive cloud computing platform for AI training and inference [3][7] - NVIDIA's strong position in the AI computing market is reinforced by its partnerships and investments, including a substantial deal with OpenAI [7][8] - Analysts predict that NVIDIA's stock will continue to rise, with target prices being adjusted upwards, indicating a bullish outlook for the AI infrastructure market [7][8] Industry Trends - The AI computing sector is experiencing a surge in investment, with estimates suggesting a potential market size of $2 trillion to $3 trillion driven by unprecedented demand for AI infrastructure [8][9] - The recent price increases in high-performance storage products and strong earnings from key players like TSMC further support the bullish narrative for AI-related hardware and infrastructure [9]