Nutanix has announced that it has extended its AI infrastructure platform with a new cloud-native offering, Nutanix Enterprise AI (NAI).
“With Nutanix Enterprise AI, we’re helping our customers simply and securely run GenAI applications on-premises or in public clouds. Nutanix Enterprise AI can run on any Kubernetes platform and allows their AI applications to run in their secure location, with a predictable cost model,” said Thomas Cornely, SVP of Product Management, Nutanix.
Nutanix Enterprise AI
Nutanix Enterprise AI is designed to help customers overcome AI skill shortages with features that accelerate AI development and remove barriers to building an AI-ready platform. It offers a simple UI-driven workflow for easier deployment and testing of LLM inference endpoints, making the process more intuitive and less daunting.
Nutanix Enterprise AI is also committed to addressing data privacy and security concerns. It enables customers to run models and data on compute resources, providing an intuitive dashboard for troubleshooting, observability, and resource utilisation for LLMs. Role-based access controls (RBAC) and deployment in air-gapped or dark-site environments ensure enterprise-grade security for GenAI workloads.
Key use cases
Customers can use Nutanix Enterprise AI to enhance customer experience with GenAI through analysis of customer feedback and documents, to accelerate code and content creation through co-pilots and intelligent document processing, and to accelerate code and content generation through fine-tuning models on domain-specific data.
Additionally, customers can use it to strengthen security through AI-powered fraud detection, threat detection, alert enrichment, and automatic policy creation, and to improve analytics by leveraging fine-tuned models on private data.
