dihuni launches a powerful GPU cloud platform for AI computing, inference and RAG products enabled by Qubrid AI technology

Developers and enterprises can access the latest GPU-on-demand, reserve long-term instances, inference, tweak, and rags and advanced software tools.

Major AI, Data Centers and the Internet of Things (IoT) Solutions Company have announced the launch of its GPU cloud. Dihuni has rebranded the advanced Qubrid AI platform and offers GPU services (GPUAAS) and AI tools under its own brand.

For more than seven years, Diffni has served corporate, educational and government customers around the world with on-premises GPU servers and high-performance computing solutions. Based on this foundation, the company is currently expanding its expertise to the cloud, offering its customers the flexible options to access cutting-edge GPU infrastructure without the capital burden of purchasing expensive hardware.

This new cloud product allows businesses, startups and researchers to access dedicated GPU-on-demand, enabling AI training, tweaking, guessing, and enterprise-grade RAG workflows. Customers are now free to choose from on-premises deployments and cloud-based GPU services, depending on their scalability, security, and budgetary requirements.

Organizations need a scalable GPU infrastructure without the complexity and latency that is common in traditional hyperscale environments. By partnering with Qubrid AI, Dihuni is now able to offer a powerful GPU cloud platform that offers transparency, reliability and flexibility, whether its customers are deploying in the cloud, on-premises or hybrid models.

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Dihuni GPU Cloud Service Extensions

• On-demand GPU cloud calculation: Access to advanced GPU virtual machines for AI training, fine tuning, and high-performance computing workloads.
• Long-term GPU server rental – Access to dedicated bare metal servers for monthly or annual periods
• AI Inference Pipeline: Scalable deployment and optimization of AI models in actual production use cases.
• Searched Generation (RAG): Enterprise-enabled RAG services that combine knowledge search and generation AI to improve accuracy and context intelligence.
• Hybrid deployment options: Customers can run their workloads fully in the cloud or on-premises via Qubrid AI's controller software, providing flexibility and data control.
• Transparent GPU allocation: Unlike some providers, Dihuni guarantees dedicated GPU access without oversubscription or inefficient hypervisor overhead.

By leveraging Qubrid AI's next-generation platform technology, Dihuni gives customers access to turnkey AI templates, enterprise-ready infrastructure, and performance optimization environments that accelerate the market for AI innovation.