Nutanix extends its AI platform for deployment in public cloud environments.
Nutanix is introducing an extension to its AI platform, Nutanix Enterprise AI, for deployment 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.
Uniform AI management
With the extension of Nutanix Enterprise AI, organizations 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 multicloud environments. Through integration with NVIDIA NIM microservices, Nutanix Enterprise AI provides optimized performance, enabling faster deployment of AI models. This allows organizations to process models and data at a location of their choice, which can contribute to increased return on investment (ROI).
read also
Nutanix and Dell Technologies renew wedding vows
The hybrid approach to generative AI often requires a distributed workflow, managing data and models both on-premises, at the edge and in the public cloud. This setup can present security, complexity and data privacy challenges. Nutanix Enterprise AI strives to address these challenges by providing a unified and secure environment in which models can scale quickly, both for business AI applications and for 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 cost clarity, which is an advantage over usage-based pricing structures. In addition, the platform provides 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 easily control access to AI models.
Integrations
The Nutanix platform further offers native integration with Nutanix Kubernetes Platform, ensuring compatibility with multiple cloud environments and Kubernetes services such as AWS EKS, Azure AKS and Google GKE. This allows customers to develop and manage AI solutions in their familiar infrastructure without compromising on security or performance.
Nutanix Enterprise AI supports various business applications, including AI-based customer analytics, threat detection, fraud detection and automated policy making. Thanks to its partnership with NVIDIA and Hugging Face, Nutanix offers its customers access to a wide range of AI models and NVIDIA-accelerated computing, which helps AI projects scale quickly.
The extension to Nutanix Enterprise AI and the associated GPT-in-a-Box 2.0 solution are available immediately.