Rapid advancements in artificial intelligence (AI) models are driving the need for more efficient and scalable inference solutions. In response, NVIDIA has partnered with Google Cloud to offer NVIDIA NIM on Google Kubernetes Engine (GKE) with the goal of accelerating AI inference and simplifying deployment through Google Cloud Marketplace.
NVIDIA NIM and GKE integration
NVIDIA NIM, a component of the NVIDIA AI Enterprise software platform, is designed to facilitate secure and reliable AI model inference. You can scalably deploy containerized applications on Google Cloud infrastructure through integration with GKE, a managed Kubernetes service now available in Google Cloud Marketplace.
NVIDIA’s collaboration with Google Cloud offers several benefits to companies aiming to enhance their AI capabilities. Integrations simplify deployment with one-click functionality, support a wide range of AI models, and ensure high-performance inference through technologies such as NVIDIA Triton Inference Server and TensorRT. Organizations can also leverage NVIDIA GPU instances on Google Cloud, such as the NVIDIA H100 and A100, to meet a variety of performance and cost requirements.
Steps to deploy NVIDIA NIM on GKE
Deploying NVIDIA NIM on GKE requires several steps, starting with accessing the platform through the Google Cloud console. Users can initiate deployment, configure platform settings, select GPU instances, and select the desired AI model. The deployment process typically takes 15-20 minutes, after which users can connect to their GKE cluster and start running inference requests.
The platform also supports seamless integration with existing AI applications by leveraging standard APIs to minimize redevelopment needs. The platform’s scalability capabilities allow businesses to handle different levels of demand and optimize resource usage accordingly.
Benefits of NVIDIA NIM on GKE
NVIDIA NIM on GKE provides a powerful solution for enterprises looking to accelerate AI inference. Key benefits include easy deployment, flexible model support, and efficient performance through accelerated compute options. The platform also provides enterprise-grade security, reliability, and scalability to secure AI workloads and ensure they can meet dynamic demand levels.
Additionally, the availability of NVIDIA NIM in Google Cloud Marketplace simplifies procurement, allowing organizations to quickly access and deploy the platform as needed.
conclusion
By integrating NVIDIA NIM with GKE, NVIDIA and Google Cloud provide enterprises with the tools and infrastructure they need to drive AI innovation. This collaboration helps organizations deliver impactful AI solutions by advancing AI capabilities, simplifying deployment processes, and enabling high-performance AI inference at scale.
Image source: Shutterstock