Nutanix is ​​expanding its AI platform for use in public cloud environments.

Nutanix introduces an expansion of its Nutanix Enterprise AI AI platform for use in public cloud environments. This platform provides a standardized operating model for AI workloads on-premises, at the edge, and now in public clouds such as AWS, Azure, and Google Cloud.

Unified AI management

With the expansion of Nutanix Enterprise AI, companies can deploy, scale and manage generative AI applications more efficiently. The platform is designed to quickly and securely run AI models, including Large Language Models (LLMs), in hybrid multi-cloud environments. By integrating with NVIDIA NIM microservices, Nutanix Enterprise AI delivers optimized performance so AI models can be deployed faster. This offers companies the opportunity to process models and data in a location of their choice, which can contribute to a higher return on investment (ROI).

The hybrid approach of generative AI often requires a distributed workflow where data and models are managed on-premises, at the edge, and in the public cloud. This setup can pose security, complexity and privacy challenges. Nutanix Enterprise AI aims to address these challenges by providing a unified and secure environment in which models can quickly scale, for both business AI applications and mission-critical applications.

Transparent pricing model

Nutanix Enterprise AI is offered with a transparent pricing model based on infrastructure resources. This model provides customers with clarity about costs, which is an advantage over usage-based pricing structures. Additionally, the platform offers support for secure role-based access control (RBAC) and an intuitive dashboard for managing resources. This allows customers to better ensure the privacy and security of their data and more easily control access to AI models.

Integrations

The Nutanix Platform also offers native integration with the Nutanix Kubernetes Platform, ensuring compatibility with multiple cloud environments and Kubernetes services such as AWS EKS, Azure AKS and Google GKE. This enables customers to develop and manage AI solutions on their trusted infrastructure without compromising security or performance.

Nutanix Enterprise AI supports a variety of business applications including AI-based customer analytics, threat detection, fraud detection and automated policy creation. By partnering with NVIDIA and Hugging Face, Nutanix offers customers access to a wide range of AI models and NVIDIA accelerated computing, helping to quickly scale AI projects.

The Nutanix Enterprise AI extension and associated GPT-in-a-Box 2.0 solution are available now.