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Wednesday 23 September 2026

Corporate

Nutanix acquires Ryax Technologies to add GPU orchestration for agentic AI

The French startup's scheduling and fractioning technology will be integrated into Nutanix Kubernetes Platform and Enterprise AI to address infrastructure efficiency for agentic workloads.

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Nutanix announced on 22 September 2026 that it has acquired Ryax Technologies, a French AI-driven compute orchestration company, to integrate GPU optimization and smart scheduling into its hybrid cloud platform for agentic AI workloads, GlobeNewswire reported. The company is based in Lyon, Blocks & Files reported.

Key points

  • Nutanix announced the acquisition of Lyon-based Ryax Technologies on 22 September 2026
  • Financial terms were not disclosed; Nutanix said the impact is not material
  • Ryax’s GPU fractioning, bin-packing and cost-aware scheduling will be integrated into Nutanix Kubernetes Platform and Nutanix Enterprise AI
  • The Ryax team will join Nutanix in France to continue development
  • Ryax raised approximately $2.4-2.7 million in total funding since its 2017 founding

Acquisition targets agentic AI infrastructure bottleneck

Nutanix said GPU shortages and fragmented infrastructure are forcing enterprises to split compute across private data centres, hyperscalers and neoclouds, making it harder to run agentic AI workloads efficiently, according to the GlobeNewswire release. The Ryax platform automates workflow deployment across Kubernetes and Slurm clusters, addressing the infrastructure integration and manual configuration that Nutanix says stalls projects at the experimentation stage. Nutanix chief AI officer Debo Dutta told CRN that agentic AI demands adaptable architecture, straightforward processes and the capacity to utilise infrastructure much more effectively. Chief executive Rajiv Ramaswami said the acquisition directly answers the challenges enterprises face with agentic AI infrastructure management, according to CRN and GlobeNewswire.

Ryax technology and funding background

Founded in 2017 by chief executive Andry Razafinjatovo and chief technology officer Yiannis Georgiou, Ryax developed containerised workflow orchestration software that enables serverless CPU and GPU execution, GPU fractioning and bin-packing under the Intelliscale feature, and cost-aware scheduling that the company claims delivers up to 45 per cent lower compute costs, Blocks & Files reported. The platform also supports multi-site execution and air-gapped environments. Ryax’s orchestration engine is open-sourced on GitHub under RyaxTech/ryax-engine. Total funding stands at approximately €2.2-2.4 million ($2.4-2.7 million), comprising a €1.34 million seed round in October 2019, a later venture round of about €400k, and several public grants from Bpifrance, Banque Populaire Rhône-Alpes, BNP Paribas and Total Développement Régional, according to Blocks & Files.

Integration plans and partner strategy

Nutanix plans to integrate the Ryax platform into future releases of Nutanix Kubernetes Platform (NKP) and Nutanix Enterprise AI (NAI). The Ryax team will join Nutanix in France and continue developing the technology, the GlobeNewswire release said. Nutanix chief AI officer Debo Dutta told CRN that once integration is complete, the advanced GPU utilisation and smart scheduling capabilities will expand use cases for partners and help joint customers run agentic workloads more efficiently. Dutta said the capabilities strengthen Nutanix’s differentiation in a market where demand for smart scheduling and GPU optimisation is growing.

Nutanix financial context and competitive positioning

Nutanix reported fiscal 2026 revenue of $2.85 billion, up 12 per cent year over year, with annual recurring revenue of $2.55 billion, up 16 per cent, and free cash flow of $840.7 million, compared with $750.2 million a year earlier, Stocktwits reported. The company said it added more than 3,000 new customers during the fiscal year and counts over 50 per cent of the Global 2000 as customers. Blocks & Files noted that Nutanix’s Ryax acquisition gives it a cross-platform capability and a match for IBM’s Watson X on Red Hat OpenShift, whereas the main public clouds automate agentic AI infrastructure only inside their own environments.

Topics: Agents, Data centres, Enterprise adoption