Qubrid AI Unveils AI Controller v1.1 for Simplified On-Prem AI Management
Qubrid AI, the market-leading provider of enterprise AI infrastructure solutions, released AI Controller v1.1, a major update of its AI orchestration software behind Qubrid's On-Prem AI GPU Appliances.
With this launch comes a suite of innovative features to provide cloud-native agility within secure, on-premises environments and provide greater simplicity to enable enterprises to effectively manage AI workloads with continued data and infrastructure control.
Enabling Businesses with On-Prem AI Flexibility
As enterprises increasingly prioritize data privacy, regulatory compliance, and infrastructure sovereignty, Qubrid AI Controller v1.1 bridges the gap between public cloud convenience and on-prem security. The update supports deployment in air-gapped data centers and is optimized for high-performance, hybrid, and private AI applications.
The new AI Controller v1.1 from Qubrid AI introduces a suite of powerful capabilities tailored for enterprise-grade AI infrastructure. It features role-based dashboards through distinct user and admin profiles to enhance governance and access control.
Resource Quota Management allows organizations to allocate and monitor compute, memory, and GPU resources efficiently across teams and projects. For performance optimization, users can access detailed hardware insights including GPU utilization, temperature, and power usage history.
The update also integrates model catalogs like Hugging Face, enabling seamless access to leading open-source models, and supports the deployment of custom Docker containers for specialized workflows. Crucially, the platform is air-gapped ready, making it ideal for secure environments with strict data privacy and sovereignty requirements.
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Built for Openness and Flexibility
Ujjwal Rajbhandari, CTO at Qubrid AI said, “ Qubrid AI continues to lead the way in hybrid and private AI deployment. We're bringing cloud-like simplicity to on-prem AI infrastructure.”
He added, “With AI Controller v1.1, enterprises can run high-performance AI workloads in their own environments with full control, visibility, and flexibility. This release is a major step toward making AI infrastructure enterprise-grade, secure, and easy to use."
AI Controller is built as a fully open platform that runs on multi-vendor GPU hardware and a variety of OEM servers. It supports air-cooled and liquid-cooled server models, offering data centers flexibility based on thermal and power constraints.
