From AI Compute to Full-Stack AI Cloud, connecting compute, cloud, models, AI platforms, and agents to help governments and enterprises build autonomous and controllable AI capabilities.
As generative AI, large language models (LLM), and AI agents rapidly penetrate core government and enterprise applications, market demand has shifted from simply acquiring GPU computing power to a comprehensive AI environment encompassing computing power, cloud infrastructure, models, AI platforms, applications, and governance capabilities. In response to the evolving AI landscape, TWAI Cloud has been comprehensively upgraded, building on years of experience in AI cloud services, compute resource management, and customer service. This upgrade connects next-generation GPU computing power, cloud infrastructure services, AI models, and AFS Suite to create a new generation of Full-Stack AI Cloud.
TWAI Cloud is no longer just a GPU compute service. It is a key AI cloud platform for governments, enterprises, academia, and developers, providing an integrated environment spanning Compute, Cloud, Model, AI Platform, and Agent & Application. Services include GPU compute, virtual computing, Kubernetes, storage, networking and security, as well as AI model deployment and workload scheduling. It also integrates the enterprise-grade AI capabilities of AFS Suite, supporting customers from model development, deployment, and inference to AI agent development and governance.
From Using AI Cloud to Taking Control of AI
Faced with the rapid expansion of AI workloads, governments and enterprises are focusing not only on model performance, but also on data security, model selection, computing power allocation, and AI system governance. TWAI Cloud provides secure and reliable full-stack AI services to help customers master the four core AI capabilities: Compute, Data, Model, and Operation.
Enterprises can flexibly acquire computing power based on workload and governance needs, select suitable AI models and deployment methods, and manage data permissions, model usage, resource allocation, cost-effectiveness, and the use and behavior of AI agents, so that AI can gradually transform from an experimental tool into a fundamental enterprise capability that can be operated in the long term.
Meanwhile, TWAI Cloud supports extensions from public cloud to Dedicated, On-Premises, and Hybrid architectures, allowing different industries such as government, finance, manufacturing, and healthcare to gradually build their own Private AI or Sovereign AI environments based on their data security, compliance, performance, and cost requirements, thus forming their own AI Factory.
TWCC's phased tasks completed, TWAI Cloud enters a new stage.
TWCC witnessed a significant stage in the development of AI cloud computing in Taiwan. TWCC marked an important stage in the development of AI cloud computing in Taiwan. Taiwan AI Cloud participated in the development and operation of TWCC services, accumulating extensive experience in large-scale AI infrastructure deployment, cloud services, compute resource management, and customer support.
With the completion of the phased collaboration between Taiwan AI Cloud and the National Center for High-performance Computing (NCHC) on the TWCC platform, Taiwan AI Cloud will further extend its accumulated AI cloud and service capabilities to TWAI Cloud. Existing customers and services will continue to receive support, and the platform will continue to integrate next-generation GPUs, AI models, AI Platform, AFS Suite, and AI Agent capabilities.
This upgrade marks a new stage for Taiwan AI Cloud's AI cloud services: from AI Compute to Full-Stack AI Cloud, from providing compute resources to helping customers build comprehensive AI capabilities, and from Cloud Consumption to AI Control. Going forward, Taiwan AI Cloud will continue to connect compute, cloud, data, models, platforms, and the AI application ecosystem to help governments and enterprises accelerate AI deployment and adoption at scale, while building autonomous, controllable, and sustainable AI capabilities.
Related Information
· TWAI Cloud Service Introduction
· TWAI Cloud Platform
· Taizhi Cloud's Announcement Regarding Service Upgrades and Replacement of Some Older Generation GPU Resource Models