Nutanix Enterprise AI simplifies GenAI deployment across hybrid environments, addressing data privacy and operational challenges.
Nutanix has unveiled Nutanix Enterprise AI, extending its GenAI infrastructure to hybrid and multicloud environments, including public clouds like AWS, Azure, and Google Cloud. Leveraging NVIDIA NIM microservices, the platform accelerates large language model (LLM) deployments for enterprise GenAI workloads. Enabling applications to be securely scaled and operated with consistent performance across environments. Designed for flexibility, it integrates seamlessly with Kubernetes-based platforms and supports open models from Hugging Face.
GenAI workflows often face challenges like maintaining consistency across on-premises, edge, and cloud environments, as well as addressing data privacy concerns. Nutanix Enterprise AI tackles these with an intuitive, UI-driven approach to deploy LLM inference endpoints in minutes. By enabling users to control where models and data reside, the platform ensures security while optimizing performance through NVIDIA accelerated computing. It also supports resilient operations and role-based access controls. Making GenAI accessible to non-expert IT teams.
The platform facilitates diverse GenAI use cases, such as improving customer experiences with feedback analysis, accelerating content creation, and enhancing fraud detection. With tools for fine-tuning models on domain-specific data, Nutanix Enterprise AI empowers businesses to customize GenAI solutions efficiently. Its transparent, resource-based pricing model eliminates unpredictability. Offering organizations better ROI for AI investments.
Part of the broader Nutanix GPT-in-a-Box 2.0 solution, Enterprise AI integrates with the Nutanix Cloud Platform. Delivering the security and reliability needed for mission-critical applications. By unifying GenAI infrastructure across on-premises and cloud, Nutanix enables scalable AI innovations without compromising data security or operational simplicity.