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What is Nutanix Enterprise AI?

Nutanix Enterprise AI simplifies the deployment, operation, and development of enterprise-level AI applications through secure AI endpoints that harness large language models and generative AI APIs. By optimizing the integration of generative AI, Nutanix empowers organizations to achieve remarkable productivity increases, boost their revenue, and fully harness the advantages of generative AI technology. With user-friendly workflows, companies can effectively oversee and manage their AI endpoints, thereby maximizing their AI capabilities. The platform features an intuitive point-and-click interface that allows for the seamless deployment of AI models and secure APIs, enabling users to choose from options like Hugging Face, NVIDIA NIM, or their own tailored private models. Organizations can securely operate enterprise AI in both on-premises and public cloud environments, utilizing their current AI tools. Furthermore, the system simplifies access management to language models through role-based access controls and secure API tokens, specifically designed for both developers and GenAI application owners. You also have the convenience of generating URL-ready JSON code with a single click, streamlining the API testing process. This all-encompassing strategy ensures that businesses can maximize their AI investments while adapting effortlessly to the ever-changing technological landscape, ultimately paving the way for innovative solutions.

What is Iguazio?

The Iguazio AI Platform offers a comprehensive solution for managing the entire AI workflow on a single, user-friendly platform, encompassing all essential components for developing, deploying, operationalizing, scaling, and minimizing risks associated with machine learning and generative AI applications in active business settings. Key features include: - Transitioning from proof of concept to operational deployment - Seamlessly launch your AI initiatives from the lab into the real world with automated processes and scalable infrastructure. - Customizing large language models - Enhance the precision and efficiency of models through responsible fine-tuning techniques such as RAG and RAFT, ensuring cost-effectiveness. - Efficient GPU management - Dynamically adjust GPU resource utilization based on demand to maximize efficiency. - Versatile deployment options - Support for hybrid environments, including AWS cloud, AWS GovCloud, and AWS Outposts. - Comprehensive governance mechanisms - Oversee AI applications to adhere to regulatory requirements, protect personally identifiable information, reduce biases, and more, ensuring responsible use of technology. Additionally, the platform is designed to facilitate collaboration among teams, fostering innovation and enhancing productivity across various sectors.

Media

Media

Integrations Supported

Amazon EKS
Codestral
Codestral Mamba
Gemma
Google Kubernetes Engine (GKE)
Hugging Face
Kubernetes
Mathstral
Ministral 3B
Ministral 8B
Mistral AI
Mistral Large
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
NVIDIA NGC
Nutanix Cloud Platform

Integrations Supported

Connact
MongoDB

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Nutanix

Date Founded

2009

Company Location

United States

Company Website

www.nutanix.com/products/nutanix-enterprise-ai

Company Facts

Organization Name

Iguazio (Acquired by McKinsey)

Date Founded

2014

Company Location

Israel

Company Website

www.iguazio.com

Categories and Features

Categories and Features

Big Data

Data Warehousing
High Volume Processing
Predictive Analytics

Data Science

Not specified

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