# INFINITIX at COMPUTEX 2026: Turning AI Infrastructure Into AI Cloud Revenue

- Link: https://www.thailand-business-news.com/pr-news/infinitix-at-computex-2026-turning-ai-infrastructure-into-ai-cloud-revenue-3
- Published: 2026-05-26T09:00:00+07:00
- Author: PR Newswire

TAIPEI, May 26, 2026 /PRNewswire/ — 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.

 [ ⌊INFINITIX at COMPUTEX 2026: Turning AI Infrastructure Into AI Cloud Revenue⌉ ](https://mma.prnasia.com/media2/2987149/INFINITIX_COMPUTEX2026_From_AI_Infra_to_AI_Cloud_Economy.html)

INFINITIX at COMPUTEX 2026: Turning AI Infrastructure Into AI Cloud Revenue

**From Compute Management to AI Cloud Economy**

At COMPUTEX 2026, INFINITIX will demonstrate its "Compute Economy" three-layer architecture—
spanning **AI Infrastructure, AI Platform, and AI Cloud Economy** — with AI-Stack
and ixCSP as the dual cores of an end-to-end platform covering compute management,
model deployment, and AI service monetization.

_"The competitive edge in AI has shifted from the model itself to compute orchestration
and commercialization. The question is no longer who owns the GPUs — it’s who can
transform compute into sustainable revenue. COMPUTEX 2026 is our most significant
stage to articulate this positioning to the global market." — Wayne Chen, CEO, INFINITIX_

**AI-Stack: Intelligent Heterogeneous Compute Orchestration**

AI-Stack is a Kubernetes-native enterprise compute management platform supporting
heterogeneous resources — including NVIDIA and AMD GPUs, NPUs, and Phison aiDAPTIV
+ — with capabilities spanning GPU partitioning and aggregation, cross-node computing,
multi-tenant management, and real-time visual monitoring, natively integrated with
TensorFlow, PyTorch, and Slurm.

The exhibit will spotlight CTAs Scheduler, INFINITIX’s proprietary workload-aware
scheduling technology that differentiates CUDA Core from Tensor Core workloads to
maximize parallel efficiency and resource utilization. A featured demonstration 
will showcase the Phison Electronics collaboration, combining aiDAPTIV+ intelligent
storage with AI-Stack to enable LLM training and inference without full HBM GPU 
procurement — substantially reducing AI infrastructure TCO.

**ixCSP: Monetizing the AI Token Economy**

ixCSP (AI Cloud Operations Solution Platform) enables enterprises, telecoms, and
data centers to rapidly convert existing GPU assets into billable, governed AI cloud
platforms. Integrating AI Gateway, BOSS billing, and AI-Stack resource management
into a three-layer architecture, ixCSP supports GaaS, MaaS, and TaaS deployment —
shifting GPU infrastructure from a cost center to a revenue-generating service platform.
As token-based billing displaces traditional subscription models, ixCSP positions
enterprises to compete on token traffic management, inference efficiency, and FinOps.

**From AI Infrastructure to AI Cloud Economy**

As an NVIDIA-certified Partner and AMD GPU ecosystem partner, INFINITIX deploys 
AI-Stack and ixCSP as a dual-engine platform advancing enterprises from infrastructure
management to AI cloud service commercialization — addressing growing demand for
AI governance, AI FinOps, and AI Cloud Economy frameworks, while expanding across
Japan, South Korea, and Southeast Asia with Taiwan as its R&D core.

**Exhibition Details** COMPUTEX 2026 | June 2–5, 2026 TaiNEX 2, 4F | Booth R0113(
Storage & Management Solutions)

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**Read the original article :** [INFINITIX at COMPUTEX 2026: Turning AI Infrastructure Into AI Cloud Revenue ](http://www.prnasia.com/story/archive/4967181_AE67181_0?rand=184833)
