TAIPEI, Taiwan, May 2026 — INFINITIX, a heterogeneous compute management and AI infrastructure software provider, will exhibit at COMPUTEX 2026 (TaiNEX 2, 4F, Booth R0113) under the theme "From AI Infra to AI Cloud Economy," showcasing AI-Stack and ixCSP — its dual-platform stack bridging compute governance and cloud service commercialization. With global AI spending projected to hit USD 2.52 trillion in 2026 (+44% YoY, Gartner) and enterprise GPU utilization frequently below 30%, INFINITIX converts underutilized compute into governed, revenue-generating AI service infrastructure.
[BANGKOK] — Addressing the global surge in demand for scalable AI infrastructure, INFINITIX has announced a strategic partnership with HeTone to develop a 70MW AI Edge Data Center in Bangkok. By deploying the AI-Stack and ixCSP platforms, INFINITIX provides a comprehensive solution—from resource orchestration to commercial monetization—targeting the rapid growth of the Southeast Asian market.
Compute Asset Monetization Through Core Technology
HeTone will spearhead the development of the high-density, liquid-cooled facility, while INFINITIX’s AI-Stack manages unified cross-node scheduling for heterogeneous GPU resources, achieving utilization rates of over 90%. Through the ixCSP platform, the project enables GPU-as-a-Service (GaaS), Model-as-a-Service (MaaS), and Token-as-a-Service (TaaS), successfully transforming hardware assets into scalable cloud services.
INFINITIX will participate in COMPUTEX 2026 to showcase our AI infrastructure solutions to a global audience.
The exhibition will focus on three key areas: AI infrastructure management and GPU resource orchestration, AI environment setup with model training and inference deployment, and compute service commercialization and ecosystem operations.
From AI infrastructure to the cloud economy, this marks a new era for intelligent enterprises.
SEOUL — As AI shifts from model innovation to infrastructure scalability and compute governance, the global AI infrastructure market is growing at over 30% CAGR, driven by demand for higher utilization and cost efficiency. Capitalizing on this momentum, Taiwan-based INFINITIX has established its South Korea subsidiary to strengthen local capabilities and expand its footprint in Asia’s dynamic AI market.
At AI EXPO KOREA 2026 (May 6–8, COEX, Booth N11), INFINITIX will showcase its unified platform under the theme “Meet the Future of AI Infrastructure,” enabling enterprises to transform compute resources into scalable, measurable business value.
According to Gartner's Top Strategic Technology Trends for 2026, enterprise AI competitiveness increasingly hinges on compute orchestration capability and TCO management. AI infrastructure software provider INFINITIX announces its participation in Japan IT Week Spring 2026, joining forces with Phison Electronics at the TAIWAN Tech Pavilion to showcase the "Heterogeneous Compute Elastic Orchestration & TCO Optimization Solution." The exhibition will be held at Tokyo Big Sight, West Hall 4F, Booth W20-22, from April 8–10, 2026.
As generative AI, large language models (LLMs), and high-performance computing (HPC) continue to expand, enterprise data centers are facing growing challenges in GPU resource management, low utilization, and the high cost of deploying AI development environments.
At Data Center Japan 2026, INFINITIX will showcase its enterprise AI infrastructure platform AI-Stack, together with MiTAC Computing Technology, demonstrating an integrated AI solution combining AI infrastructure software with high-performance GPU servers.
As generative AI matures, enterprise adoption is rapidly pivoting from raw model development toward operational, service-driven AI agents. Validating market research that platforms and data integration will outpace standalone models in driving future competitiveness, AI infrastructure leader INFINITIX today announced a strategic partnership with Voiss, a pioneer in AI voice and decision-simulation technology.
Through this collaboration, Voiss’s AI-Coach platform and advanced conversation analytics will be integrated directly into the Model Marketplace of INFINITIX’s ixCSP (AI Cloud Service Platform), empowering organizations to seamlessly deploy enterprise-grade AI voice assistants and decision-support applications.
As global telecommunications pivot toward the 6G era, INFINITIX announced the integration of its AI-Stack GPU orchestration platform into MSI’s AI-vRAN solution at MWC 2026. This synergy empowers telecom operators to concurrently execute virtualized RAN (vRAN) workloads and AI inference services on a unified, shared GPU architecture. Leveraging advanced GPU virtualization and proprietary Core Type Aware Scheduler (CTAs) technology, the platform intelligently arbitrates resources between 5G vRAN processing and demanding AI applications, maximizing hardware utilization and accelerating AI deployment at the network edge.
As generative AI and real-time inference scale across industrial and enterprise environments, organizations are investing heavily in GPU infrastructure. However, many deployments struggle with low GPU utilization, limiting performance gains and return on investment. INFINITIX, a leading provider of AI infrastructure orchestration software, today announced an expanded strategic partnership with Advantech, a global leader in industrial computing and edge AI. The collaboration delivers enterprise-grade and edge AI infrastructure solutions that significantly improve GPU efficiency while maintaining industrial-level reliability.
KMUH is widely recognized for its leadership in digital health. In 2025, the hospital received multiple National Healthcare Quality Awards (NHQA), achieved HIMSS EMRAM Stage 7—the highest level of electronic medical record adoption—and was named among Newsweek and Statista’s “World’s Best Smart Hospitals 2026.”
Building on its earlier adoption of NVIDIA H200 GPUs, KMUH has committed nearly NT$60 million to deploy the advanced NVIDIA B300 GPU platform, enabling accelerated development and scaling of clinical AI applications. The infrastructure project, architected by Chunghwa System Integration (CSI), leverages Supermicro's liquid-cooled server systems equipped with NVIDIA HGX B300 GPUs—engineered to support demanding AI workloads including large language models (LLMs), high-performance computing (HPC), and multimodal analytics.