Press release
Nutanix Simplifies Adoption of Generative AI with New Nutanix GPT-in-a-Box Solution
AI infrastructure solution accelerates customers’ path to GPT and LLMs while keeping organizations in control of their data SAN JOSE, Calif.--(BUSINESS
About this update from Nutanix, Inc.
[{"type":"text","content":"\nAI infrastructure solution accelerates customers’ path to GPT and LLMs while keeping organizations in control of their data\n\n\n SAN JOSE, Calif.--(BUSINESS WIRE)--\nNutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, today announced the Nutanix GPT-in-a-Box™ solution for customers looking to jump-start their artificial intelligence (AI) and machine learning (ML) innovation, while maintaining control over their data. The new offering, available today, 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™. 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.\n\n\nMany 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.\n\n\n“As 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 – all while controlling costs,” said Greg Macatee, Senior Research Analyst, Infrastructure Systems, Platforms and Technologies Group at IDC. “With GPT-in-a-Box, Nutanix offers customers a turnkey, easy-...