{"id":33231,"date":"2023-08-28T12:07:05","date_gmt":"2023-08-28T19:07:05","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=33231"},"modified":"2023-08-28T12:07:10","modified_gmt":"2023-08-28T19:07:10","slug":"generative-ai-report-nutanix-simplifies-adoption-of-generative-ai-with-new-nutanix-gpt-in-a-box-solution","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/08\/28\/generative-ai-report-nutanix-simplifies-adoption-of-generative-ai-with-new-nutanix-gpt-in-a-box-solution\/","title":{"rendered":"Generative AI Report: Nutanix Simplifies Adoption of Generative AI with New Nutanix GPT-in-a-Box Solution"},"content":{"rendered":"\n

Nutanix<\/a>\u00a0(NASDAQ:\u00a0NTNX), a leader in hybrid multicloud computing, announced the Nutanix GPT-in-a-Box\u2122<\/sup>\u00a0solution for customers looking to jump-start their artificial intelligence (AI) and machine learning (ML) innovation, while maintaining control over their data. The new offering is a full-stack software-defined AI-ready platform, along with services to help organizations size and configure hardware and software infrastructure suitable to deploy a curated set of large language models (LLMs) using the leading open source AI and MLOps frameworks on the Nutanix Cloud Platform\u2122<\/sup>. It allows customers to easily procure AI-ready infrastructure to fine-tune and run generative pre-trained transformers (GPT), including LLMs at the edge or in their datacenter.\u00a0<\/p>\n\n\n\n

Many enterprises are grappling with how to quickly, efficiently and securely take advantage of the power of generative AI and AI\/ML applications, especially for use cases that cannot be run in the public cloud because of data sovereignty, governance and privacy concerns. New use cases emerge every day as organizations look to leverage generative AI to improve customer service, developer productivity, operational efficiency and more. From automated transcription of internal documents, to high speed search of multimedia contents, and automated analysis, many organizations see the opportunity with AI but are struggling with growing concerns regarding intellectual property leakage, compliance and privacy. Additionally, organizations looking to build an AI-ready stack often struggle with how to best support ML administrators and data scientists, while the prospect of large AI investment costs has enterprises stalled in their AI and ML strategy.<\/p>\n\n\n\n

\u201cAs customers look to design and deploy generative AI solutions, they find themselves struggling with balancing the deep expertise required to install, configure, and run these workloads with concerns around their data security and protecting company IP \u2013 all while controlling costs,\u201d said Greg Macatee, Senior Research Analyst, Infrastructure Systems, Platforms and Technologies Group at IDC. \u201cWith GPT-in-a-Box, Nutanix offers customers a turnkey, easy-to-use solution for their AI use cases, offering enterprises struggling with generative AI adoption an easier on-ramp to deployment.\u201d<\/em><\/p>\n\n\n\n

The Nutanix GPT-in-a-Box solution delivers ready-to-use customer-controlled AI infrastructure for the edge or the core data center and allows customers to run and fine-tune AI and GPT models while maintaining control over their data. Nutanix provides a full complement of security and data protection offerings ideal for AI data protection.<\/p>\n\n\n\n

\u201cHelping customers tackle the biggest challenges they face in IT is at the core of what we do, from managing increasing multicloud complexity, to data protection challenges, and now adoption of generative AI solutions while keeping control over data privacy and compliance,\u201d said Thomas Cornely, SVP, Product Management at Nutanix. \u201cNutanix GPT-in-a-Box is an opinionated AI-ready stack that aims to solve the key challenges with generative AI adoption and help jump-start AI innovation.\u201d<\/em><\/p>\n\n\n\n

This new solution includes:<\/p>\n\n\n\n