Nutanix, the hybrid multicloud computing, 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 is a 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). 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, said the company. 

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. 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.

“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-to-use solution for their AI use cases, offering enterprises struggling with generative AI adoption an easier on-ramp to deployment.”

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.

This new solution includes:

• Nutanix Cloud Infrastructure platform, with the Nutanix Files Storage and Objects Storage solutions, the Nutanix AHV hypervisor and Kubernetes, along with NVIDIA GPU acceleration, which can be sized for large to small scale.
• Nutanix services to help customers size their cluster and deploy an opinionated stack with the leading open source deep learning and MLOps frameworks, inference server, and a curated set of large language models such as Llama2, Falcon and MPT.
• Ability for data scientists and ML administrators to immediately consume these models with their choice of applications, enhanced terminal UI, or standard CLI.
• The platform can also be leveraged to run other GPT models, as well as fine tune these models leveraging internal data, hosted on included Nutanix Files or Objects Storage services.

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Nutanix, the hybrid multicloud company, released the findings of its fifth annual Enterprise Cloud Index (ECI) report which revealed that IT infrastructure is increasingly diverse, with organizations challenged with integrating data management and control. The research indicated that nearly half (48 percent) of organizations in India leverage more than one type of IT infrastructure, including a mix of private and public clouds, multiple public clouds, or an on-premises datacenter, along with a hosted data center. This number is expected to grow by 87 percent in next three years, outpacing the global ECI average by 13 percent. 

The greatest growth area in India is in hybrid multicloud infrastructure (private infrastructure coupled with more than one public cloud). Hybrid multicloud usage in India at present is 12 percent and is expected to increase by five-fold (63 percent) in the next 3 years. Increased infrastructure diversity, along with a heightened emphasis on data storage, management, security, and services, is driving all IT pros to seek hybrid operations that transcend private and public infrastructure.

“The findings of the Nutanix Enterprise Cloud Index report once again showcase the rapidly evolving nature of the IT infrastructure landscape in India. As organizations adopt a hybrid multicloud approach, managing data across diverse IT environments is becoming increasingly complex. It is imperative for enterprises to streamline their data and applications across public cloud, private cloud, and on-premises infrastructure, and leverage a single, unified control plane for seamless management. Nutanix recognizes this need, and our commitment to providing cutting-edge hybrid multicloud solutions that enable organizations to build, operate, and govern their IT infrastructure with ease remains unwavering,” said Faiz Shakir, Managing Director – Sales, Nutanix India & SAARC.

In the past five years of conducting the ECI, respondents’ attitudes, globally, have drastically shifted toward the use of multiple IT environments. In 2018, well over half of respondents worldwide said they envisioned running all workloads exclusively in either a private cloud or the public cloud one day. Rather than working to consolidate on a particular infrastructure or IT operating model, as seemed desirable in 2018, most enterprises now see the inevitability, and even benefits, of running workloads across public cloud, on-premises and at the edge.

The goal for organizations now is to make this hybrid operating model more efficient, especially when managing IT environments across the edge to the core. The growing level of diversity in cloud deployments creates enormous complexity in managing application’s data across cloud environments. Comprehensive tools that enable organizations to provision, move, manage, monitor, and secure applications and data from a single console in a uniform manner is a growing priority for IT. Nearly all respondents worldwide (95 percent) say they’d benefit from having a single, unified control plane to manage applications and data across diverse environments.  

Key findings from this year’s India report include –

Cloud cost control ranks as a top IT management challenge in mixed environments – 57 percent of the respondents consider cloud cost as a challenging IT management issue while 34 percent expressed a “very concerned” attitude about cloud costs in the context of their IT budgets for the upcoming year. In comparison, only 30 percent of APJ and global respondents identified cost as a top IT management challenge. The other top-ranking challenges include security at 55 percent and data analytics/orchestration at 54 percent. Furthermore, while 99 percent of the Indian respondents acknowledge the importance of having full visibility into where all their data resides, only 31 percent report having that visibility, indicating significant room for improvement.

All enterprises in India (100 percent of respondents) have moved their applications across environments in 2022, marking a 6 percent increase from the previous year. Among these enterprises, 64 percent did so to enhance control over their applications, 58 percent to meet sustainability objectives, and 57 percent to strengthen their security posture or comply with regulatory requirements. Additionally, approximately 57 percent cited the need for integration with cloud-native services such as AI/ML as a factor in their decision to move applications.

Cybersecurity is the biggest IT infrastructure decision factor in India – In India, 17 percent of enterprises consider cybersecurity as the top priority when making IT infrastructure investments. This is followed by the flexibility to run workloads across different cloud infrastructures (14 percent) and performance (12 percent). Notably, twice the percentage of respondents from India emphasized performance compared to the full APJ regional response base (6 percent). On the other hand, application requirements were mentioned the least in India (3 percent), while cost was not a significant decision factor in other regions,while elsewhere, cost was the least important decision factor.

For the fifth consecutive year, Vanson Bourne conducted research on behalf of Nutanix, surveying 1,450 IT decision-makers around the world in December 2022 and January 2023. The respondent base spanned multiple industries, business sizes, and the following geographies: the Americas; Europe, the Middle East, and Africa (EMEA); and the Asia Pacific Japan (APJ) region.

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