- Nutanix (NTNX, Financial) announces the general availability of its enhanced Nutanix Enterprise AI (NAI) solution.
- Enhanced integration with NVIDIA AI Enterprise accelerates Agentic AI deployment in enterprises.
- Key features include shared LLM endpoints, enhanced security with guardrail models, and compatibility with NVIDIA AI Data Platform.
Nutanix (NTNX), a leader in hybrid multicloud computing, has launched the latest version of its Nutanix Enterprise AI (NAI) solution, integrating advanced NVIDIA AI Enterprise components to boost the deployment of Agentic AI applications. This update is set to streamline how enterprises build and manage AI models across various environments, including edge, data centers, and public clouds.
The new NAI release introduces a shared model service methodology, allowing businesses to leverage shared LLM endpoints, which optimize infrastructure usage by reducing the dependence on critical components such as GPUs, CPUs, and storage resources. The integration with NVIDIA's NeMo framework and microservices enhances agentic workflows and operational efficiencies.
Security is a key focus of this update, with the introduction of guardrail models that prevent biased or harmful outputs, ensuring AI applications adhere to organizational policies and regulatory requirements. These models perform essential functions such as filtering sensitive content and maintaining control over AI-generated topics.
Furthermore, the NAI platform supports deployment flexibility through CNCF-certified Kubernetes environments, enabling seamless operation across hyperconverged infrastructure (HCI), bare metal, and cloud IaaS setups. This integration with Nutanix's existing data services and NVIDIA GPUDirect Storage provides a robust backbone for enterprise AI workloads.
This release underscores Nutanix's commitment to providing comprehensive AI solutions that facilitate innovation while maintaining stringent controls over resource optimization and security.
