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Nutanix plans joint AI infrastructure with Super Micro Computer

3 companies named across 3 categories, one of 30 articles referencing Nutanix. Previous coverage: Nutanix and Netris partner on multitenant AI infrastructure stack (Oct 2026).

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Information Technology / AI Infrastructure / AI Compute & Systems / AI Servers & Rack-Scale Systems

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Nutanix and Super Micro Computer, Inc. described plans for a jointly engineered AI infrastructure solution powered by Nutanix Agentic AI. The offering is intended to help enterprises address high AI costs by lowering the cost per token of private AI inference.

The companies stated that the solution would also accelerate adoption of open-weight models and help enterprises secure critical on-premises GPU resources. For organizations, the stated benefit is a shorter route from infrastructure deployment to production AI, with less time spent assembling and integrating multivendor environments.

The planned solution would pair Supermicro servers, which house eight NVIDIA Blackwell Ultra GPUs per node, with the Nutanix Cloud Platform and Nutanix Agentic AI full stack software. Networking would use NVIDIA Spectrum-X Ethernet, which combines Spectrum-4 Ethernet switches (SN5610/SN5600), ConnectX-7/8 SuperNICs, and BlueField-3 DPUs for infrastructure offloading and in-band management.

A dedicated Nutanix management cluster (NX-8170-G10) would protect against management-plane failure without disrupting GPU execution, while an integrated NUS cluster (NX-8150-G10) would handle high-bandwidth I/O for data ingestion, checkpointing, and cache warming. The companies describe an expanded collaboration, with the systems planned for availability in early 2027 from Supermicro and its channel partners.

Matthew Thauberger, Chief Revenue Officer at Supermicro, said: “Collaborating with Nutanix, we want to accelerate time-to-online for enterprise AI. Combining Supermicro’s engineered servers with Nutanix’s full-stack software will deliver a pre-validated, rack-scale solution that bypasses traditional lead-time delays. It will help give organizations predictable access to high-density GPU compute while removing the operational complexity of scaling AI.”

Thomas Cornely, Executive Vice President, Product Management at Nutanix, said: “Moving AI from experimentation into production remains a challenge for many enterprises, with infrastructure complexity and hardware procurement often slowing progress.” The planned solution remains subject to ongoing development and to the finalization of commercial arrangements between the parties, and actual results may differ from current expectations.

Press release, provided by Globe Newswire on behalf of Nutanix. Read the original.

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