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Nutanix Acquires Ryax to Manage AI Computing Costs

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The hybrid cloud company says Ryax’s scheduling software will help customers run AI workloads on cost-effective hardware, though it gave no price or timeline.

Nutanix, a hybrid cloud software company, said Sept. 22 that it has acquired Ryax Technologies, a French company whose software manages and schedules the computing power used to run artificial intelligence.

Nutanix plans to build Ryax’s technology into two of its products, Nutanix Kubernetes Platform, which manages applications across computing environments, and Nutanix Enterprise AI, in future releases. The Ryax team will join Nutanix in France. Nutanix did not disclose the price, saying only that the financial impact is not material to the company.

The problem Nutanix is targeting

The company said the rise of agentic AI, systems that carry out tasks with limited human direction, is increasing demand for inference, the work of running trained AI models. Shortages of graphics processing units, or GPUs, the chips that power much of that work, have pushed many organizations to spread their computing across private data centers, large cloud providers, and newer companies that rent out GPU capacity, Nutanix said.

That fragmentation, it argued, makes AI deployments costly and hard to run. Nutanix also said many enterprises struggle to move AI projects from testing into production because of the integration and manual setup required.

Also Read: Ford Gave Us The Five-Day Workweek. AI Should Make It Four

What Ryax adds

Nutanix said Ryax’s platform offers two capabilities. The first, resource optimization, is meant to make better use of GPUs and processors and reduce waste. The second, AI-aware scheduling, would automatically place AI workloads on cost-effective hardware.

“Agentic AI requires a flexible architecture, simple operations and the ability to use infrastructure far more efficiently,” said Rajiv Ramaswami, Nutanix’s chief executive.

Andry Razafinjatovo, Ryax’s chief executive, said the combined company can help organizations deploy AI “wherever their infrastructure lives.”

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