Nutanix and Nvidia Collaborate to Simplify Enterprise AI Adoption

Nutanix and Nvidia Join Forces to Tackle Enterprise AI Challenges

In a strategic move to address the growing demand for enterprise AI solutions, Nutanix Inc. and Nvidia Corp. have partnered to offer scalable and simplified AI applications across hybrid and multicloud environments. This collaboration aims to overcome significant hurdles faced by organizations in building, deploying, and scaling enterprise AI applications 1

1

Key Challenges in Enterprise AI Adoption

According to Justin Boitano, VP of Enterprise AI at Nvidia, organizations face three primary challenges:

1. The need to transition from traditional computing to full-stack accelerated computing
2. Reinvention of entire infrastructure to support generative AI
3. The emergence of agentic AI 1

   1

Additionally, Bob Parker from IDC identifies four main reasons for failing AI strategies:

1. Excessive costs
2. Inadequate data infrastructure
3. Lack of coordination between IT and business strategy
4. Skill gap in AI software management 3

   3

Nutanix Enterprise AI: A Comprehensive Solution

To address these challenges, Nutanix has introduced Nutanix Enterprise AI, a software platform deployable on any Kubernetes environment. This solution offers:

1. Cost-efficient infrastructure integration with AI-ready models from Nvidia and Hugging Face
2. Hybrid deployment capabilities for edge and cloud environments
3. Predictable pricing model based on software consumption rather than service 3

   3

The Three-Dimensional Approach

Tarkan Maner, Chief Commercial Officer at Nutanix, outlined their strategy:

1. AI at Nutanix: Internal company operations
2. AI on Nutanix: Supporting various use cases and applications on their platform
3. AI in Nutanix: Integration of AI into their product and platform 2

   2

Addressing Data Privacy and Customization

The partnership focuses on enabling enterprises to deploy custom AI applications securely and cost-effectively. Boitano emphasized that most enterprises want to keep proprietary information confidential while harnessing automation benefits to augment their workforce 2

2

Related Stories

Nutanix and NVIDIA Collaborate to Bring Agentic AI to Enterprise Infrastructure

Nutanix Expands AI Platform with Cloud-Native Enterprise AI Solution

Nutanix expands AI infrastructure platform to control costs as agentic workloads explode

High-Performance Computing and Multicloud AI Strategies: Innovations Shaping Enterprise Computing

Future Outlook: Agentic AI and Industry-Specific Solutions

Looking ahead, Nutanix and Nvidia are paving the way for large-scale deployment of AI agents – autonomous software entities designed to handle repetitive tasks. Nvidia's AI blueprints offer best-practice models for common use cases, such as customer service automation and security analysis 2

2

Market Impact and Adoption

Mandy Dhaliwal, CMO of Nutanix, highlighted the growing importance of AI in enterprise strategy:

• 59% of companies believe AI will fundamentally change their operations
• 49% already have a workforce productivity plan leveraging AI 3

  3

However, the adoption process is still in its early stages. Parker noted that out of an average of 37 proof of concepts, only five typically go to production, with about two-thirds considered successful 3

3

Nutanix's Internal AI Implementation

Demonstrating their commitment to AI, Nutanix has implemented various AI solutions internally:

• Support GPT for customer-facing roles
• Sales GPT for revenue operations
• Engineering GPT for automating repeatable tasks 3

  3

As the enterprise AI landscape continues to evolve, the Nutanix-Nvidia partnership aims to provide a comprehensive, flexible, and secure platform for organizations to harness the power of AI while addressing the complexities of deployment and management across diverse computing environments.