Nutanix Introduces a Solution for Effortless Generative AI Adoption

By Greg Tavarez, TMCnet Editor  |  August 18, 2023

Numerous businesses are contending with the challenge of swiftly, effectively and securely harnessing the potential of generative AI and AI/ML applications, particularly for scenarios that cannot be executed in the public cloud due to apprehensions about data jurisdiction, governance and confidentiality.

Fresh applications pop up regularly as entities seek to harness generative AI for enhancements in customer service, developer efficiency, operational streamlining, and other purposes. From the automated conversion of internal documents to rapid exploration of multimedia contents and automated analysis, many organizations recognize the promise of AI. Nevertheless, they grapple with mounting worries concerning the exposure of intellectual property, conformity, and confidentiality.

Moreover, entities aiming to construct an AI-ready framework frequently often encounter challenges in adequately supporting ML administrators and data scientists. To that end, the prospects of substantial AI investment expenses have led to standstills for many AI and ML strategies of enterprises.

So, to help businesses jump-start their AI and ML innovation (while maintaining control over their data), Nutanix announced the Nutanix GPT-in-a-Box (News - Alert) solution.

Nutanix is a provider of cloud software; the company offers organizations a single platform for running apps and data across clouds. With Nutanix, companies can reduce complexity and simplify operations, freeing them to focus on their business outcomes.

The Nutanix GPT-in-a-Box solution furnishes clients with a readily deployable AI infrastructure under their direct control. This versatile solution is adaptable to edge and core data centers, empowering customers to execute and customize AI and GPT models while retaining full jurisdiction over their data. To ensure comprehensive data security and protection tailored for AI, Nutanix provides an array of security measures and data safeguarding options.

Comprising the forefront Nutanix Cloud Infrastructure platform, this solution integrates Nutanix Files Storage and Objects Storage solutions, the Nutanix AHV hypervisor, Kubernetes and NVIDIA (News - Alert) GPU acceleration, all of which can be tailored to cater to various scales, ranging from expansive to compact.

Nutanix assists customers in appropriately sizing their clusters and implementing a pre-defined stack equipped with foremost open-source deep learning and MLOps frameworks. This includes an inference server and a curated selection of sizable language models such as Llama2, Falcon and MPT. Data scientists and ML administrators can also swiftly integrate these models into their preferred applications through an enriched terminal UI or a standard CLI.

This GPT-in-a-Box solution serves as a versatile canvas for executing other GPT models, in addition to the capacity for fine-tuning these models using internal data, hosted conveniently within the integrated Nutanix Files or Objects Storage services. The GPT-In-a-Box solution leverages Nutanix's extensive proficiency in scalable infrastructure across diverse domains and provides an optimal environment for refining and deploying AI applications, all while upholding meticulous control over data. Notably, a recent survey revealed that a noteworthy 78% of Nutanix clients expressed a likelihood of entrusting their AI/ML workloads to the Nutanix Cloud Platform.

“Helping 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,” said Thomas Cornely, Senior Vice President, Product Management at Nutanix. “Nutanix 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.”

The Nutanix GPT-in-a-Box solution is available to customers today.




Edited by Alex Passett
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