Arinox, Altos launch air-gapped AI system for on-prem enterprise deployments
Targets government, PSUs and regulated sectors with plug-and-play AI infrastructure; starts at INR 10.8 lakh.
Arinox.ai has partnered with Altos Computing, an Acer group company, to bring a pre-integrated, on-premise AI system to market, targeting enterprises, government bodies, and regulated sectors in India.
The offering, called CommandCore, is positioned as a deployable “AI-in-a-box” system that organisations can install within their own infrastructure.
They can do this without relying on cloud services or external connectivity.
The system operates in fully air-gapped environments, allowing organisations to run AI workloads without internet access.
This makes it suitable for use cases where data sensitivity and regulatory requirements restrict cloud adoption, including government, public sector, and defence-related deployments.
CommandCore integrates Altos Computing’s enterprise hardware with GPU architecture from NVIDIA and an AI operating layer from KOGO AI.
The platform allows organisations to develop, train, and deploy AI models and agents on a single system without building infrastructure from scratch.
CommandCore starts at INR 10.8 lakh and includes a three-year warranty.
Arinox.ai’s CEO, Ajay Kharbanda, said, “India is entering a decisive phase in its AI evolution, where sovereignty, security, and performance will define adoption. Through this alliance, CommandCore enables organisations to build their own private AI innovation ecosystems, from experimentation to production, entirely on-premise and aligned with national data priorities.”
According to the company, it is an entry point for organisations looking to deploy private AI infrastructure without large upfront investments in data centre build-out.
Altos provides system integration and deployment capabilities, while Arinox develops the CommandCore platform and software stack.
A plug-and-play offering
The companies position the system as a plug-and-play offering that reduces deployment timelines. Organisations can set up AI environments in days instead of building infrastructure over several months, which typically involves hardware procurement, integration, and configuration.
The system supports a range of workloads, including AI development, model training, inference, and agent-based applications across enterprise and departmental environments.
It is designed to support internal AI labs, centres of excellence, and production deployments within controlled infrastructure environments.
The partnership focuses on sectors where on-premise deployment remains critical, including central and state government bodies, public sector units, and enterprises operating in regulated industries such as banking, healthcare, and manufacturing.
For Altos Computing, the partnership extends its role from hardware supply to system-level integration and solution delivery, leveraging its enterprise infrastructure network and partner ecosystem to take the offering to market.
The launch reflects a broader shift towards pre-integrated AI infrastructure, where vendors package compute, software, and deployment into a single system to reduce complexity and accelerate adoption.
As enterprises move from AI pilots to production, demand for systems that can be deployed quickly and operate within secure, on-premise environments continues to grow.