Nutanix, a leader in hybrid multicloud computing, has unveiled its latest innovation called GPT-in-a-Box, an AI-ready solution for machine learning (ML) and artificial intelligence (AI) development. This offering aims to help organizations jump-start their AI and ML initiatives while maintaining control over their data. With GPT-in-a-Box, Nutanix provides a full-stack software-defined platform that enables customers to easily procure AI-ready infrastructure and run generative pre-trained transformers (GPT) models.
As the demand for AI and ML applications continues to grow, enterprises are faced with challenges related to data sovereignty, governance, and privacy concerns. Many organizations are unable to leverage the power of generative AI in the public cloud due to these concerns. However, Nutanix’s GPT-in-a-Box solution offers a way to overcome these obstacles by delivering customer-controlled AI infrastructure for both edge and core data centers. This allows organizations to run and fine-tune AI and GPT models while maintaining control over their data.
One of the main advantages of GPT-in-a-Box is its ability to provide organizations with an easy on-ramp to AI deployment. Greg Macatee, a Senior Research Analyst at IDC, highlighted Nutanix’s turnkey solution, stating, 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 includes the Nutanix Cloud Infrastructure platform, which features Nutanix Files Storage and Objects Storage solutions, the Nutanix AHV hypervisor, and Kubernetes. With the addition of NVIDIA GPU acceleration, customers can scale the platform according to their needs. Nutanix also provides services to help customers size their cluster and deploy an opinionated stack with leading open source deep learning and MLOps frameworks.
Data scientists and ML administrators can consume these models using their preferred applications, enhanced terminal UI, or standard CLI. The platform can also be used to run other GPT models and fine-tune them using internal data hosted on the Nutanix Files or Objects Storage services.
Several organizations have already praised Nutanix’s GPT-in-a-Box solution. Jon Cosson, the CISO at JM Finn, a regulated financial services organization, highlighted the platform’s performance, flexibility, and security, stating, The Nutanix Cloud Platform delivers the performance, flexibility, and security required to safely deploy AI workloads.
Nutanix’s expertise in scalable infrastructure across public cloud, data centers, and edge use cases makes it an ideal partner for organizations looking to build their AI strategy. In fact, 78% of Nutanix customers indicated their intention to run their AI/ML workloads on the Nutanix Cloud Platform, according to a recent survey.
Nutanix’s involvement in the open source AI community further strengthens its position as a leader in the field. The company actively participates in MLCommons, co-founded and provides technical leadership for defining the ML Storage Benchmarks and Medicine Benchmarks, and serves as a co-chair of the Kubeflow Training and AutoML working groups at the Cloud Native Computing Foundation (CNCF).
In conclusion, Nutanix’s GPT-in-a-Box solution offers organizations a comprehensive AI-ready platform that enables them to kickstart their AI and ML innovation while maintaining control over their data. With its turnkey solution and expertise in scalable infrastructure, Nutanix provides an easy on-ramp to AI deployment, helping enterprises overcome the challenges of generative AI adoption. By leveraging the Nutanix Cloud Platform, organizations can unleash the full potential of AI and ML technologies while ensuring data security and compliance.