As part of the KubeCon conference held in Salt Lake City, Utah, Nutanix (NASDAQ: NTNX) announced the expansion of its artificial intelligence (AI) platform, Nutanix Enterprise AI, into the realm of public cloud. This move strengthens the company’s ability to provide a unified and simplified experience for running generative AI (GenAI) workloads in hybrid multicloud environments, including on-premises data centers, edge locations, and public cloud services such as AWS EKS, Azure AKS, and Google GKE.
A Solution for the Growing Complexity of Generative AI
Generative AI, which combines training in the public cloud, tuning in private infrastructures, and deployments at the edge, poses significant challenges related to data privacy, security, and operational costs. Nutanix Enterprise AI addresses these challenges through a consistent multicloud operational model that allows organizations to deploy, run, and scale generative AI applications in minutes.
Thomas Cornely, Senior Vice President of Product Management at Nutanix, emphasized: “With Nutanix Enterprise AI, we help our customers run GenAI applications easily and securely, whether on their premises or in public clouds. Our approach assures predictable costs and eliminates common technological barriers to accelerate enterprise AI development.”
Optimized Technology with NVIDIA and Hugging Face
Nutanix Enterprise AI leverages NVIDIA’s AI platform, including optimized inference microservices (NVIDIA NIM), and is compatible with open-source models from Hugging Face. These integrations enable secure, resilient, and advanced operational capabilities for deploying GenAI infrastructure, both on-premises and in the cloud.
Key Features of Nutanix Enterprise AI
- Flexibility and Simplicity: The platform allows IT administrators to manage AI applications without the need for advanced skills, simplifying model development through an intuitive user interface and preconfigured workflows.
- Data Security and Privacy: Customers can run models and process data on self-controlled resources, mitigating privacy risks. It also includes role-based access controls and observability tools.
- Predictable Costs: Unlike other token or usage-based pricing models, Nutanix offers a clear scheme based on infrastructure resources, maximizing return on investment.
- Operational Consistency: Thanks to its integration with KubernetesKubernetes (commonly referred to in English as “K8s”) …, the platform enables organizations to deploy their applications across multiple environments without compromising stability or performance.
Highlighted Use Cases
Among the main applications of Nutanix Enterprise AI are:
- Customer Experience: Analyzing feedback and documents to enhance user interaction.
- Process Optimization: Automating content creation, document analysis, and code generation.
- Security: Fraud detection models, alert enrichment, and automatic policy generation.
- Advanced Analytics: Leveraging specific data to optimize business decisions.
Availability and Collaboration with Tech Leaders
Nutanix Enterprise AI is part of the Nutanix GPT-in-a-Box 2.0 solution, which includes cloud infrastructure, a Kubernetes platform, and unified storage. The solution is designed to meet customer needs in both on-premises and public cloud environments and is already available globally.
Jeff Boudier, Head of Product at Hugging Face, noted: “The collaboration between Nutanix and Hugging Face ensures that customers can deploy popular open models on a proven and easy-to-use infrastructure, now also in the public cloud.”
Driving Adoption of Enterprise AI
With this launch, Nutanix reinforces its commitment to leading the market for hybrid multicloud environments, offering a reliable and efficient platform for companies looking to harness the potential of generative AI in their operations.