InfiX.ai Wins BEYOND Best of Innovation Awards 2026 for InfiCube, Showcasing Enterprise AI Infrastructure Innovation

Macau, May 2026 — InfiX.ai has been honored with the BEYOND Best of Innovation Awards 2026 at BEYOND EXPO 2026 for InfiCube, its all-in-one AI computing appliance for large-model training and inference, alongside other frontier technology companies including StepFun, Galbot, iFLYTEK and Deep Robotics. The recognition highlights InfiCube's product capabilities, as well as InfiX.ai's strengths in enterprise AI infrastructure, large-model training and inference, hardware-software integration, and real-world deployment.

InfiX.ai received support in 2025 from RAISe+, the Hong Kong SAR Government's flagship Research, Academic and Industry Sectors One-plus Scheme. The programme aims to accelerate the commercialisation and large-scale deployment of internationally impactful frontier research, while strengthening Hong Kong's position as an international innovation and technology hub. InfiX.ai also received support from the Hong Kong SAR Government's Cyberport Artificial Intelligence Subsidy Scheme, obtaining the highest funding ratio under the programme. This further reflects the government's strong recognition of InfiX.ai's technological innovation and industrial value in Collaborative Generative AI (Co-GenAI) and AI-native infrastructure.

BEYOND EXPO is one of Asia's influential technology innovation and industry ecosystem platforms. Held in Macau from May 27 to 30 under the theme “AI: Digital to Physical,” BEYOND EXPO 2026 focuses on the transition of AI from digital models to physical systems, enterprise deployment, and real-world productivity.

According to the official BEYOND Awards description, the BEYOND Innovation Awards are dedicated to discovering innovative technologies, companies, products, and services, while showcasing the possibilities of technological innovation and its impact on the global community. As one of the key recognitions within BEYOND Awards, the BEYOND Best of Innovation Awards are selected from Innovation Awards winners, representing strong recognition of outstanding innovation.

This recognition is especially meaningful at a time when generative AI is moving from capability validation to industrial deployment. For enterprises, the key question is no longer only how to use large models, but how to build AI capabilities securely, efficiently, and continuously within their own data, compute, and business environments.

InfiCube is designed for this next stage of enterprise AI adoption. It is not a standalone compute device, but an integrated system for LLM training, fine-tuning, inference deployment, model evaluation, and continuous optimization. It helps enterprises turn proprietary data, domain knowledge, and business workflows into deployable, measurable, and continuously improving domain-specific AI capabilities.

For data security and compliance, InfiCube enables data processing, model training, and inference to run within the enterprise's own infrastructure, helping sensitive data remain in-domain without being uploaded to external platforms. This supports a more secure, compliant, and controllable AI environment.

For cost and efficiency optimization, InfiCube combines integrated hardware and software, unified resource scheduling, and streamlined deployment to help enterprises shorten deployment cycles, reduce adaptation and operational complexity, and improve resource utilization.

For industry adaptability, InfiCube supports domain-specific models trained with enterprise workflows, industry terminology, and private data, helping reduce hallucination risks in professional scenarios and enabling more reliable AI-supported decision-making.

InfiCube is one of InfiX.ai's key solutions for enterprise AI infrastructure, and a productized step toward the company's long-term vision to “build the system that builds all models.” With the goal of building a Decentralized Co-Gen AI Network, InfiX.ai aims to help more organizations train, deploy, and continuously optimize their own domain-specific AI based on proprietary data, knowledge, experience, and business workflows.

Commenting on the vision behind InfiCube, Prof. Hongxia Yang, Founder and Chief Scientist of InfiX.ai, said: “The next stage of AI is not only about model capability itself, but about whether enterprises and institutions can securely, economically, and continuously own their AI capabilities. Through more efficient and controllable infrastructure, we aim to help AI move from an external tool to a sustainable core capability within organizations.”

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