Nutanix Strengthens AWS Partnership and Unveils Enterprise AI Platform

/ AI, AWS re:Invent 2024, Cloud, Edge Computing
Nutanix Strengthens AWS Partnership and Unveils Enterprise AI Platform

What Was Announced

Nutanix recently revealed two key initiatives aimed at advancing developer capabilities in hybrid cloud and AI environments: an expanded partnership with Amazon Web Services (AWS) and the launch of its Enterprise AI platform.

AWS Partnership Expansion: Nutanix Cloud Clusters (NC2) on AWS simplifies hybrid cloud adoption by enabling seamless migration and management of workloads across on-premises and AWS environments. Developers benefit from consistent application deployment, disaster recovery, intelligent workload placement, and direct access to AWS services like storage and AI/ML tools.

Enterprise AI Platform: Nutanix helps developers securely and efficiently deploy large language models (LLMs) and AI applications across cloud and edge environments. The platform streamlines AI operations and reduces infrastructure management by integrating NVIDIA AI Enterprise software and scalable instances across AWS, Microsoft Azure, and Google Cloud.

Read more in the Nutainxi press release, which can be found here.

Analyst Take

For developers, these announcements highlight Nutanix’s ongoing commitment to providing tools that reduce complexity, enhance scalability, and improve operational efficiency, especially in hybrid cloud and AI environments.

For Hybrid Cloud and AI Developers 

Nutanix Cloud Clusters (NC2) transforms hybrid cloud workflows for developers. By eliminating the complexity of managing workloads across on-premises and AWS environments, NC2 ensures consistent deployment and seamless integration with AWS services, reducing overhead. Native access to AWS’s AI/ML tools empowers developers to rapidly incorporate cutting-edge technologies, accelerating application delivery and driving faster time-to-value for data-driven applications.

Nutanix’s Enterprise AI platform is designed to simplify the deployment of AI applications, including large language models (LLMs), across hybrid and multi-cloud environments. By leveraging NVIDIA’s AI Enterprise software, developers can focus on creating impactful AI solutions rather than managing infrastructure. The platform also supports edge AI, enabling real-time decision-making in use cases like autonomous systems, IoT, and industrial automation. Nutanix’s unified tools foster collaboration between DevOps and AI teams, ensuring data security and efficiency while aligning with enterprises’ AI and hybrid cloud strategies.

Key Features for AI Developers

  • Streamlined AI Deployment: This feature simplifies the deployment of LLMs and AI applications across hybrid and multi-cloud environments, allowing developers to focus on AI innovation.
  • Edge AI Capabilities: Supports AI workloads on edge devices, driving real-time decision-making for autonomous systems, IoT, and industrial automation.
  • Operational Efficiency: It unifies cloud platforms, improves collaboration, and ensures security, which is essential for hybrid cloud and AI-driven strategies.

What This Means for the Market

The hybrid cloud market is growing rapidly and is expected to surpass $1 trillion by 2030 (theCUBE Research). Nutanix’s NC2 offering is at the forefront, simplifying hybrid cloud transitions and supporting multi-cloud strategies without disrupting developer workflows. Nutanix’s Enterprise AI platform addresses the increasing demand for scalable and secure AI tools, helping enterprises adopt AI more effectively while meeting developer-centric priorities.

Nutanix’s latest offerings align with key market trends:

  • Hybrid Cloud Maturity: NC2 simplifies hybrid cloud adoption, enabling enterprises to balance cost, performance, and flexibility.
  • AI Democratization: The Enterprise AI platform accelerates enterprise AI adoption by offering secure, scalable tools for developers working with Generative AI and domain-specific models.
  • Developer-Centric Ecosystems: Nutanix empowers developers by simplifying operational complexity, integrating hyperscalers like AWS, and supporting AI-driven workloads across hybrid environments.

Predictions for What’s Next

Nutanix is positioned to continue its leadership in hybrid cloud and AI innovation. The company may expand its Enterprise AI platform with native development tools for fine-tuning LLMs and specialized AI models, driving further healthcare, finance, and retail adoption. In addition, Nutanix will likely deepen its multi-cloud capabilities through partnerships with Azure and Google Cloud, offering developers more flexibility. As edge computing becomes integral to AI applications, Nutanix will likely introduce new edge-specific tools to ensure real-time performance and security. By focusing on hybrid cloud maturity and AI democratization, Nutanix will continue to shape the future of enterprise IT.

Key Areas to Watch:

  • AI-Native Development Tools: Expanding the Enterprise AI platform to include specialized tools for fine-tuning LLMs and domain-specific models.
  • SaaS and API Integrations: Strengthening cross-cloud flexibility with deeper integrations across AWS, Azure, and Google Cloud.
  • Edge AI Growth: Enhancing edge-specific capabilities to support real-time AI workloads and data security.

Nutanix’s focus on hybrid cloud adoption and AI readiness positions it as a transformative force that meets the evolving needs of developers and enterprises.

Authors

  • Bringing more than a decade of varying experience crossing multiple sectors such as legal, financial, and tech, Sam Weston is an accomplished professional that excels in ensuring success across various industries. Currently, Sam serves as an Industry Analyst at Efficiently Connected where she collaborates closely in the areas of application modernization, DevOps, storage, and infrastructure. With a keen eye for research, Sam produces valuable insights and custom content to support strategic initiatives and enhance market understanding. Rooted in the fields of tech, law, finance operations and marketing, Sam provides a unique viewpoint to her position, fostering innovation and delivering impactful solutions within the industry. Sam holds a Bachelor of Science degree in Management Information Systems and Business Analytics from Colorado State University and is passionate about leveraging her diverse skill set to drive growth and empower clients to succeed.

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  • Paul Nashawaty, Practice Leader and Lead Principal Analyst, specializes in application modernization across build, release and operations. With a wealth of expertise in digital transformation initiatives spanning front-end and back-end systems, he also possesses comprehensive knowledge of the underlying infrastructure ecosystem crucial for supporting modernization endeavors. With over 25 years of experience, Paul has a proven track record in implementing effective go-to-market strategies, including the identification of new market channels, the growth and cultivation of partner ecosystems, and the successful execution of strategic plans resulting in positive business outcomes for his clients.

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