Nutanix is working on developing its GPT-in-a-Box solution to help reduce the high costs associated with implementing AI. Version 2.0 is focused on simplicity and aims to make advanced AI models more accessible to a wider range of companies.
AI implementation is often hindered by the high computational demands of training models. Nutanix addresses this issue by offering options for fine-tuning and Recovery Generation Increased (RAG) to make basic models suitable for specific AI applications. The company also provides an AI Inference Endpoint to help manage, access, and audit AI models for daily deployment.
Nutanix partners with Hugging Face and Nvidia NIM to access a variety of AI models through a single API, simplifying the software architecture for AI implementation. The company’s Data Lens SaaS solution enables data classification within Nutanix Files, ensuring data security and making unstructured data suitable for AI applications.
Looking ahead, Nutanix plans to further simplify its GPT-in-a-Box offering and acknowledges the importance of collaboration among vendors to make practical AI implementation a reality. Ultimately, the goal is to make AI more accessible and cost-effective for a wider range of companies.
In summary, Nutanix is working on developing its GPT-in-a-Box solution to make AI implementation more affordable. The company aims to simplify the process of training and deploying AI models, making them more accessible to a wider range of companies. By partnering with other companies and continuously updating its offerings, Nutanix hopes to make AI implementation a practical reality for businesses looking to harness the power of artificial intelligence.
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https://www.techzine.eu/news/applications/120241/nutanix-makes-ai-deployment-approachable-with-gpt-in-a-box-2-0/