NVIDIA and Google Cloud Expand Accelerated Computing Capabilities
NVIDIA and Google Cloud are expanding access to accelerated computing to transform the full spectrum of enterprise workloads, from visual computing to agentic and physical AI.
Google Cloud today announced the general availability of G4 VMs, powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. Plus, NVIDIA Omniverse and NVIDIA Isaac Sim are now available as virtual machine images (VMIs) on the Google Cloud Marketplace to unlock physical AI-driven applications for key industries like manufacturing, automotive and logistics.
This powerful combination creates a versatile, multi-workload platform for enterprises to accelerate their most demanding challenges on Google Cloud.
NVIDIA RTX PRO 6000 Blackwell GPUs excel at high-performance AI inference for multimodal, generative and agentic AI deployments, while also powering complex visual and simulation workloads ranging from computer-aided engineering and content creation to robotics simulation.
Customers like WPP are using G4 VMs with NVIDIA Omniverse to instantly generate photorealistic 3D advertising environments at global scale, while Altair is using the platform within Altair One to accelerate demanding simulation and fluid dynamics workloads.
The G4 VM: A Universal Platform for AI and Visual Computing
At the core of the new G4 VM is the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU, the ultimate data center GPU for AI and visual computing.
Built on the NVIDIA Blackwell architecture, it serves as a universal platform for a broad range of workloads. Its design uniquely combines two powerful engines:
* fifth-Generation Tensor Cores that deliver a massive leap in AI performance,supporting new data formats like FP4 to enable faster performance with lower memory usage.
* Fourth-Generation RT Cores that provide over 2x the real-time ray-tracing performance over the previous generation, enabling cinematic-quality graphics and photorealistic simulations.
On Google Cloud, these G4 VMs are built for massive scale, configurable with up to eight RTX PRO 6000 GPUs – totaling 768 GB of GDDR7 memory – and supported by high-throughput local and network storage.
As part of Google Cloud’s AI Hypercomputer architecture, G4 VMs natively integrate with services like Google Kubernetes Engine and Vertex AI to simplify containerized deployments and streamline machine learning operations for AI workloads. this flexibility extends to accelerating large-scale data analytics on Apache Spark and Hadoop with Dataproc.
Google Cloud Launches New G4 VMs Powered by NVIDIA RTX 6000 Blackwell GPUs
Google Cloud has announced the general availability of new G4 VMs powered by NVIDIA RTX 6000 Blackwell GPUs, offering significant performance improvements for a range of workloads including AI inference, scientific computing, and design & visualization. These VMs are built on the NVIDIA Blackwell platform, providing a unified architecture for accelerating complex pipelines.
The new G4 VMs are available in two configurations:
* RTX PRO 6000 Blackwell on G4 VMs: Optimized for AI inference and visual computing.
* NVIDIA GB200 NVL72 (A4X VMs) and NVIDIA HGX B200 (A4 VMs): designed for massive-scale AI training and inference.
Key Use Cases & Performance Gains:
* AI Inference: the new GPUs deliver optimized, high-performance inference for AI models with enterprise-grade security and support. NVIDIA provides a set of easy-to-use microservices to facilitate this.
* Scientific and High-Performance Computing: researchers can leverage NVIDIA CUDA-X libraries and microservices to solve complex problems in fields like drug discovery and genomics. Specifically, core genomics algorithms for sequence alignment can achieve up to 6.8x faster throughput compared to the previous generation.
* Design and Visual Computing: NVIDIA RTX Virtual Workstation software enables remote creative and design pipelines, delivering high-performance virtual workstation instances from G4 VMs to any device.
This launch establishes a complete, end-to-end platform on Google Cloud, allowing enterprises to manage complex, multistage pipelines – from data analytics to physical AI – within a single, consistent cloud ecosystem.
Availability & Resources:
Users can deploy NVIDIA Omniverse and Isaac Sim Virtual Machine Images (VMIs) from the Google Cloud Marketplace. Further information is available on NVIDIA Nemotron models and NVIDIA Blueprints.