# Tencent Cloud Enterprise Unveils Full-Stack Intelligent Private Cloud for Sovereign Agentic AI

- Link: https://www.thailand-business-news.com/pr-news/tencent-cloud-enterprise-unveils-full-stack-intelligent-private-cloud-for-sovereign-agentic-ai
- Published: 2026-11-06T19:08:00+07:00
- Author: PR Newswire

◦ Introducing two major solutions, the Full-Stack Intelligent AI Suite and Lite
   Deployment
 ◦ Announcing joint research with Gartner and Omdia

SHENZHEN, China, Nov. 6, 2026 /PRNewswire/ — At the **AI-Powered Private Cloud for
Global Markets **session of the 2026 Tencent Global Digital Ecosystem Summit, **
Tencent Cloud Enterprise (TCE)** set out how highly regulated industries can run
production-grade agentic AI inside their own boundaries. Under the theme "Full-Stack
Intelligence, Sovereign AI," TCE launched two major solutions, the Full-Stack Intelligent
AI Suite and Lite Deployment, as well as introducing the joint research reports 
with Gartner and Omdia.

[⌊Tencent Cloud Enterprise⌉⌊Tencent Cloud Enterprise⌉[
Tencent Cloud Enterprise

"Once an agent starts touching core business data and calling critical systems, 
the question is no longer whether the model is strong enough," said **Kaibo Sha,
Vice President, Tencent Cloud. **"It is where the data is processed, who operates
the system, and what foundation the agent runs on. Full-stack intelligence is the
capability we build. Sovereign AI is the boundary we keep."

**Full-Stack Intelligent AI Suite — from token supply to agent runtime**

**The Full-Stack Intelligent AI Suite**, Tencent Cloud Enterprise’s flagship release
of the year, marks the shift from a full-stack cloud to a full-stack intelligent
cloud. It spans four selectable layers — a converged compute, storage, and networking
foundation; a model service layer built on TokenHub, the private MaaS platform for
LLM services; an **agent runtime** layer with a cloud-native sandbox, egress control,
and identity credentials; and an agent application layer. Customers can enter at
any level and expand upward.

[⌊Tencent Cloud Enterprise⌉⌊Tencent Cloud Enterprise⌉[
Tencent Cloud Enterprise

LLM Service TokenHub turns raw computing power into token services that are callable,
meterable, and operable, published on a unified, industry-standard inference API
with multi-tenant isolation and token-level metering down to individual users and
API keys. Built-in inference acceleration delivers more than 250,000 TPM of measured
single-accelerator throughput, cache hit rates above 90%, and up to 220% throughput
gains on alternative silicon.

Across the suite, agent behavior is fully auditable, runtime environments are provisioned
in minutes, and unified training and inference scheduling raises heterogeneous compute
utilization by up to 60%. Data, model weights, and inference traffic never leave
the customer’s sovereignty boundary. The suite is compatible with mainstream x86
and ARM processors and multi-vendor accelerators, has been validated at 10,000-GPU
scale, and delivers financial-grade resilience of RTO ≤ 2 minutes and RPO = 0.

**Tencent Cloud Enterprise Lite Deployment — production-grade from eight servers**

**Tencent Cloud Enterprise Lite Deployment** addresses what has become the decisive
question in private cloud projects: how small a credible start can be. Hardware 
and operating costs keep rising, pilot-first is now the standard path, and budgets
are committed in stages — yet a small footprint must still grow into production 
without re-platforming.

[⌊Tencent Cloud Enterprise⌉⌊Tencent Cloud Enterprise⌉[
Tencent Cloud Enterprise

Lite Deployment delivers a complete full-stack cloud from **eight servers **— three
master, three block storage, and two network function nodes — with no reduction 
in core IaaS capability. An AI-only entry point starts from **three servers**, with
private model services out of the box. The same architecture then scales from a 
single availability zone to metro dual-AZ active-active and on to cross-region disaster
recovery, ensuring the platform a customer validates on is the platform they scale.
Delivered as software on existing hardware, it requires no capital-heavy refresh
and carries no minimum spend.

One of the largest futures brokerages by brokered turnover and client assets took
this route: a full-stack private cloud carrying core trading systems across heterogeneous
chip architectures, with AI started on three servers and extended as volumes grew.

**A Practical Guide to Building Sovereign AI Cloud Platforms, with Gartner**

Tencent Cloud Enterprise and **Gartner** jointly released _A Practical Guide to 
Building Sovereign AI Cloud Platforms_, a reference for regulated industries building
self-controlled AI platforms. It frames sovereignty as a spectrum resting on three
pillars — data, operations, and technology — and sets out adoption paths for financial
services, healthcare, public service cloud, and telecommunications.

[⌊Tencent Cloud Enterprise⌉⌊Tencent Cloud Enterprise⌉[
Tencent Cloud Enterprise

Gartner research cited in the guide underlines the urgency: by 2028, strict data
sovereignty and privacy regulations will compel over 25% of enterprises in regulated
industries to repatriate their primary GenAI workloads on-premises; through 2029,
dependence on proprietary foundation models will leave over 50% of GenAI adopters
locked into a single public cloud provider’s ecosystem; and only 17% of organizations
report having enough talent to support AI adoption. (Full Report: [https://intl.cloud.tencent.com/resources/whitepaper/101580](https://intl.cloud.tencent.com/resources/whitepaper/101580))

**Telco Cloud and AI Transformation, with Omdia**

Tencent Cloud Enterprise and **Omdia** jointly released _Telco Cloud and AI Transformation:
Global Market Opportunities and Case Studies_. The whitepaper documents the operator
shift from connectivity provider to cloud and AI enabler, against mobile ARPU declining
roughly 2% annually while OTT players capture more than 70% of network traffic value.

[⌊Tencent Cloud Enterprise⌉⌊Tencent Cloud Enterprise⌉[
Tencent Cloud Enterprise

Omdia projects **$160 billion** in telco-led AI data center investment between 2026
and 2031, equivalent to 9% of combined fixed and mobile capex, and identifies three
transformation trends: full-stack industry cloud platforms, national cloud infrastructure,
and AI monetization beyond GPU-as-a-Service toward MaaS and token-based business
models. It recommends that operators act now on the sovereign AI window and choose
software-independent, hardware-open full-stack partners with proven white-labelling
capability. (Full Report: [https://intl.cloud.tencent.com/resources/whitepaper/101582](https://intl.cloud.tencent.com/resources/whitepaper/101582))

**Customer Practice Across Markets**

Customers presented their own deployments at the session: **Shanghai Xuhui District**,
on a multi-chip government cloud with tidal compute scheduling; **Shenzhen Second
People’s Hospital**, on a hospital-wide foundation for agentic AI in clinical, service
and management workflows; and **a large, diversified organization in Hong Kong**,
China, on migrating from VMware Tanzu to a cloud-native hybrid cloud on Tencent 
Cloud Enterprise. A Thai digital infrastructure provider, previously using VMware,
launched two data centers on Tencent Cloud Enterprise in eight weeks and now runs
a white-labelled, metered cloud business.

**About Tencent Cloud Enterprise**

Tencent Cloud Enterprise is a full-stack private cloud and industry cloud platform
that brings capabilities validated at public cloud scale into environments under
customer control. Delivered as software across open, heterogeneous hardware, Tencent
Cloud Enterprise scales from three servers in AI-only deployments to tens of thousands
of nodes, from public-cloud-connected to fully air-gapped environments.

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