“GPT-in-a-box solution” aims to simplify the adoption of generative AI | Scientific Computing World

General News

Summary

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. 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. • None 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. • None Ability for data scientists and ML administrators to immediately consume these models with their choice of applications, enhanced terminal UI, or standard CLI. Nutanix’s expertise with scalable infrastructure across public cloud, datacenter and edge use cases delivers the ideal environment to fine-tune and run AI applications while maintaining control over the data.

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industries
Fintech & Banking
applications
Data Management

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Infrastructure Software Virtualization Software Cloud Management

Linked Companies

Nutanix
$1B+