Nutanix, a hybrid multicloud computing company, has unveiled the Nutanix GPT-in-a-Box solution, aimed at helping customers expedite their endeavors in artificial intelligence (AI) and machine learning (ML) innovation, all while maintaining control over their data. Now available, this comprehensive offering encompasses a fully integrated software-defined AI-ready platform, coupled with services that guide organizations in configuring hardware and software infrastructure tailored to deploy a curated array of extensive language models (ELMs). These models are operationalized through the foremost open source AI and MLOps frameworks hosted on the Nutanix Cloud Platform. This solution facilitates the easy procurement of AI-ready infrastructure to refine and deploy generative pre-trained transformers (GPT), including large language models, either at the edge or within their data centers.
Numerous enterprises currently face the challenge of effectively harnessing the capabilities of generative AI and AI/ML applications, particularly for use cases unsuitable for public cloud deployment due to issues of data sovereignty, governance, and privacy. As organizations seek to leverage generative AI for enhancing customer service, developer efficiency, operational streamlining, and more, new use cases continue to emerge. These range from automated transcription of internal documents to high-speed multimedia content searches and automated analyses. Despite the potential benefits, concerns surrounding intellectual property leakage, compliance, and privacy have impeded the adoption of AI. Furthermore, enterprises aspiring to create an AI-ready framework often grapple with the intricacies of supporting ML administrators and data scientists, with the prospect of substantial AI investment costs hindering progress in AI and ML strategies.
Greg Macatee, Senior Research Analyst of the Infrastructure Systems, Platforms, and Technologies Group at IDC, stated, “GPT-in-a-Box 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 furnishes pre-configured AI infrastructure that empowers customers to execute AI and GPT models at the edge or in their core data centers, maintaining full data control. Nutanix supplements this with an extensive suite of security and data protection measures tailored for AI data safeguarding.
Thomas Cornely, SVP of Product Management at Nutanix, affirmed, “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 cutting-edge Nutanix Cloud Infrastructure platform, incorporating Nutanix Files Storage and Objects Storage solutions, Nutanix AHV hypervisor, Kubernetes, and NVIDIA GPU acceleration, adaptable to varying scales.
– Nutanix services for assisting customers in scaling their clusters and deploying an opinionated stack featuring premier open source deep learning and MLOps frameworks, an inference server, and a selection of large language models such as Llama2, Falcon, and MPT.
– Provision for data scientists and ML administrators to instantly access these models through their preferred applications, enhanced terminal UI, or standard CLI.
– The platform can also accommodate other GPT models, along with the option to fine-tune these models utilizing internal data hosted on Nutanix Files or Objects Storage services.
The Nutanix GPT-in-a-Box solution is designed to extend the scalability, performance, resilience, and user-friendliness inherent to the Nutanix Cloud Platform. Nutanix’s proficiency in scalable infrastructure across public cloud, data centers, and edge environments creates an ideal setting for refining and executing AI applications while retaining data control. In a recent survey, 78% of Nutanix customers expressed their intention to run AI/ML workloads on the Nutanix Cloud Platform.
Leveraging its deep involvement in the open source AI community, Nutanix equips customers with a solid basis upon which to build their AI strategies. Notable contributions include participation in the MLCommons advisory board, co-founding and technical leadership in shaping the ML Storage Benchmarks and Medicine Benchmarks, and serving as a co-chair of the Kubeflow Training and AutoML working groups within the Cloud Native Computing Foundation (CNCF).
The Nutanix GPT-in-a-Box solution is readily available for customers. Those interested in initiating their AI journey can access additional information here.
