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Infrastructure platform Aranya secures $11 million financing to automate AI GPU cluster management

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Infrastructure platform Aranya secures $11 million financing to automate AI GPU cluster management
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Aranya has raised $11 million in combined seed and pre-seed funding to expand its automated Kubernetes-based operating platform, designed to convert bare-metal hardware into production-ready compute clusters for artificial intelligence workloads within 48 hours.

UNITED STATES OF AMERICA San Francisco-based infrastructure developer Aranya has completed an $11 million funding round to scale its automated GPU management platform. The investment includes a $9 million seed round led by First Round Capital with participation from Box Group, Vermilion Cliffs, and Asylum Ventures, following a $2 million pre-seed round led by Asylum Ventures alongside Founder Collective, Parable VC, and Uncommon Ventures. Founded by Christian Bhatia Ondaatje, Sasivarnan Kanaghasalam Sathyapriya, and Aryamika Bhatia Ondaatje, Aranya develops specialized distributed operating systems built on Kubernetes to help enterprises deploy and automate large-scale computing environments.

The capital infusion addresses growing operational bottlenecks created by the rapid expansion of artificial intelligence inference workloads. As inference applications require increasingly dedicated computational capacity, enterprise data centers often encounter prolonged setup times and technical complexities when configuring raw hardware. Aranya's open-source platform, clusterdOS, automates cluster setup from raw bare-metal servers into self-healing infrastructure within 48 hours, significantly reducing deployment cycles and operational downtime without requiring massive platform engineering resources.

This technological milestone directly impacts data center operators, independent cloud providers, and enterprise AI developers seeking cost-effective alternatives to public cloud environments. By integrating plain-language control and autonomous fault remediation into cluster operations, the platform lowers technical barriers for non-specialized engineering teams. The technology enables enterprise infrastructure operators to maintain high GPU availability while minimizing ongoing maintenance overhead.

For technology investors and data center operators, the development signals a broader transition toward intelligent, automated cluster orchestration layer software. As high-performance hardware demand outpaces available operational personnel, automated infrastructure tools are becoming vital for scaling compute facilities efficiently. Aranya plans to deploy the fresh capital to expand its core platform engineering teams and grow developer adoption for its underlying orchestration engine.

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