NVIDIA and Google Cloud

A3 VMs, powered by NVIDIA H100 Tensor Core GPUs, are purpose-built to train and serve especially demanding gen AI workloads and LLMs. Combining NVIDIA GPUs with Google Cloud’s leading infrastructure technologies provides massive scale and performance and is a huge leap forward in supercomputing capabilities.

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The accelerator-optimized A2 VMs are based on the NVIDIA Ampere A100 Tensor Core GPU. Each A100 GPU offers up to 20x the compute performance of the previous generation. These VMs are designed to deliver acceleration at every scale for AI, data analytics, and high performance computing to tackle the toughest computing challenges.

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G2 was the industry’s first cloud VM powered by the newly announced NVIDIA L4 Tensor Core GPU, and is purpose-built for large inference AI workloads like generative AI. G2 delivers cutting-edge performance-per-dollar for AI inference workloads. As a universal GPU, G2 offers significant performance improvements on HPC, graphics, and video transcoding workloads.

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Using Google Kubernetes Engine (GKE) you can seamlessly create clusters with NVIDIA GPUs on demand, load balance, and minimize operational costs by automatically scaling GPU resources up or down. With support for multi-instance GPUs (MIG) in NVIDIA A100 GPUs, GKE can now provision the right-size GPU acceleration with finer granularity for multiuser, multimodel AI inference workloads.

NVIDIA CloudXR, a groundbreaking innovation built on NVIDIA RTX™ technology, makes high-quality XR accessible through Google Cloud Marketplace with NVIDIA RTX Virtual Workstation as a virtual machine image (VMI). Users can easily set up, scale, and consume high-quality immersive experience and stream XR workflows from the cloud.