Integrated AI operating environment helps enterprises move faster from infrastructure to token generation
Nutanix is strengthening enterprise readiness for agentic AI by extending support for NVIDIA’s next-generation Rubin platform, helping organizations reduce complexity and accelerate time to value for large-scale AI initiatives.
Over the past three years, the rapid rise of large language models has reshaped enterprise expectations around AI. From content generation and summarisation to advanced analytics and automation, organizations are increasingly looking to operationalise AI at scale. However, growing model sizes and infrastructure demands have made performance, scalability, and power efficiency critical challenges.
To address this, Nutanix has built an integrated AI operating environment designed to simplify how enterprises deploy and manage AI infrastructure. Built on Nutanix Acropolis Operating System (AOS) and the AHV hypervisor, the platform brings together key components including the Nutanix Kubernetes Platform (NKP), Nutanix Enterprise AI (NAI), Nutanix Unified Storage (NUS), and Nutanix Database (NDB). This unified stack enables organizations to deploy AI workloads efficiently across bare-metal and virtualised environments.
“By combining Nutanix’s integrated AI operating environment with NVIDIA Rubin platforms, enterprises can accelerate AI adoption, simplify infrastructure management, and generate real business value from day one.”
— Mahmoud Sharaf, Director, Systems Engineering – South Gulf & Sub-Saharan Africa, Nutanix
The solution is tightly integrated with NVIDIA AI Enterprise software, including NVIDIA NIM microservices, allowing enterprises to move quickly from infrastructure delivery to token production. By providing a turnkey environment from a single operating system vendor, Nutanix aims to simplify AI factory deployments while maintaining compatibility across the NVIDIA ecosystem.
With the introduction of the NVIDIA Rubin platform, Nutanix is collaborating closely with NVIDIA to support the latest acceleration technologies. Planned support includes NVIDIA Vera Arm-based CPUs, NVIDIA Rubin GPUs, and the NVIDIA Inference Context Memory Storage Platform powered by BlueField-4 data processing units. Nutanix will also support NVIDIA Spectrum-X Ethernet Photonics switching to enable end-to-end data centre acceleration.
Nutanix continues to emphasise open-source innovation, extending support for NVIDIA’s open-permissible models and NIM microservices to help customers take advantage of the latest LLM advancements without vendor lock-in.
For organizations in the Middle East, particularly the UAE, the approach aligns with growing demand for sovereign AI, local data control, and regulatory compliance. By reducing operational friction and accelerating AI deployment timelines, Nutanix and NVIDIA are positioning enterprises to turn proprietary data into measurable competitive advantage—faster and at scale.
