Six Cloud Platforms in the Eyes of Architects: AWS, GCP, Azure, Ali, Tencent and Huawei International

2026-05-22 阅读 19
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As an architect who has been crawling between multi-cloud architecture (Multi-Cloud) and hybrid cloud for a long time, what I face every day is not the cold manufacturer PPT, but the real online failure rate, bill overspending pressure, and sudden overseas compliance checks.

In 2026, the large model (LLM) and the full-scale outbreak of Agent intelligence have completely changed the underlying ecology of cloud platforms. Today's cloud not only has to compete with traditional computing power and storage, but also depends on whose

AI engineering landing speed

Faster, who?

Marine compliance moat

Deeper.

Today, I put aside all commercial filters, from

Technology Ecology, AI and Data Base, Overseas Localization Compliance, Architect Pit Avoidance Guide

Four hard-core dimensions, take you to a plate of the world's six cloud platforms-3A European and American giants (AWS, Azure, GCP) and China's top three overseas (Ali, Tencent, Huawei International Edition) of the real hard power.

1. Europe and the United States 3A three giants: the AI of the old overlord and ecological killer.

On the international stage, AWS, Azure and GCP still occupy the main market share in the world. But entering 2026, their internal ranking and core advantages are undergoing subtle chemical reactions.

[2026 the latest fundamentals of global public cloud (architect perspective analysis)]]

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│ Cloud Vendors │ Core Ruling Fields │ Architects Most Afraid of "Pits" │

├── ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─

│ AWS │ Infrastructure, IaaS Ecology, Robustness │ Complex billing traps, console fragmentation

├── ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─

│ Azure │ Enterprise Software Integration, OpenAI Native Ecosystem │ Occasional Components, Global Quota Card │

├── ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─

│ GCP │ Big Data, Kubernetes Native, TPU Cost │

After-sales support the tradition of pulling crotch and cutting product lines at every turn

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1. AWS(Amazon Web Services): Unshakable "Industry Standard" and Self-developed Chip

AWS is still a "security card" in the eyes of architects ". If you don't know what to choose, you won't make a big mistake by choosing AWS. Its core strengths can be summed up in two words:

Ripe

.

Technical base: From EC2, S3 to Nitro architecture, AWS's network topology and multi-availability zone (AZ) isolation design are industry textbook level.

New developments in the 2026 AI: AWS is taking a "pragmatic" route. Although there is no bet on a single closed-source large model, its Amazon Bedrock hosting service allows you to access many top models such as Anthropic Claude 3.5/4 and Llama with one click. More importantly, AWS's bet on Trainium and Graviton 4 self-developed chips ushered in a qualitative leap in cost performance in 2026, effectively helping enterprises offset the huge profits of Nvidia GPU.

Avoidance guide: Its console (Console) has lacked overall refactoring for many years, and its components are severely fragmented. In addition, data outflow fees (Data Egress Fees) are extremely expensive, and if the multi-cloud interconnection is not properly designed, the bill at the end of the month will make you scared.

2. Microsoft Azure: the AI absolute trump card of the enterprise software empire.

If AWS wins in infrastructure, then Azure wins in

Enterprise Mind

. As long as a company is using Windows Server, SQL Server, or Office 365,Azure is the logical choice.

Technology Base: With Azure Hybrid Benefit, the license cost for traditional enterprises to move to the cloud can be reduced by nearly 40%.

New developments in the 2026 AI: Azure is the biggest beneficiary of this burst of generative AI. Through deep binding with OpenAI, Azure OpenAI service is the most stable and compliant channel for enterprise deployment GPT-4o and the latest fine-tuned models. The seamless integration of Microsoft's Copilot Studio and business models allows companies to build their own wheels when building Agent intelligences.

Avoidance Guide: There is a consensus in the architect circle that some of Azure's underlying components (such as the Entra ID policy after Azure AD renaming) are sometimes too complicated in logic.

, and even encounter a sudden regional quota (Quota) stuck neck problem, not to grab the high-end A100/H100 computing power is common.

GCP(Google Cloud Platform): A tech paradise for data developers"

GCP used to play the role of "small three" for many years, but in 2026, its market share and profit margin ushered in a strong rebound. It comes with a strong "engineer culture" gene.

Technology Base: As the parent of Kubernetes(K8s), GCP's GKE(Google Kubernetes Engine) is recognized as the container engine with the best experience and the strongest full-automatic operation and maintenance.

New developments in the 2026 AI: GCP has the strongest data reconstruction capabilities. The BigQuery is still the ultimate ceiling for cloud counting. At the AI level, Google relies on Gemini 1.5/2.0 Pro's ultra-long context (Context Window) to make a difference. Its self-developed TPU v5p/v6 directly suspenders Nvidia when training massive long text and multi-modal models.

Avoidance guide: Google's biggest headache is its after-sales technical support (Support). Unless you buy an extremely expensive premium support package, the response speed often crashes when you encounter a low-level Bug ticket. Moreover, Google has a black history of "cutting off unprofitable product lines at any time" and should pay special attention to the life cycle of components when selecting models.

2. China's Top Three Seaways: Cost-effective, Differentiated Hard Core Players

After talking about the big three in Europe and the United States, we will turn our attention to the international version of "China's top three to go to sea": Ali, Tencent and Huawei. In the face of geopolitics and the pinch of overseas giants, they not only did not retreat in 2026, but relied on

Competitive price/performance ratio, pan-entertainment/e-commerce scene accumulation, and localized personal service

In the Asia Pacific (APAC), the Middle East (MENA) and Latin American markets have torn a huge opening.

4. Aliyun International Edition (Alibaba Cloud): Asia Pacific's No.1 AI Full Stack Exporter

According to the latest data released by Gartner in 2026, Aliyun still tops the list with a share of more than 22% in the Asia-Pacific IaaS market. It is the earliest and most complete "regular army" among Chinese cloud manufacturers ".

core advantage: the biggest card of alibaba cloud international edition is the qwen ecology. In the global open source model competition from 2025 to 2026, Qwen 3.5/4.0's multilingual ability and code generation ability are almost the king in the open source industry, which makes Aliyun International Edition Model Studio (100-year-old platform) popular overseas. Its Wukong (Wukong) enterprise-class Agent platform has helped a large number of Southeast Asian and Middle Eastern enterprises to quickly realize business automation.

shelf

Architect's comment: Alibaba Cloud's network products (such as CEN) are well designed and are extremely suitable for connecting complex network topologies between China and overseas.

5. Tengxun Cloud International Edition (Tencent Cloud): The "Uncrowned King" of Audio, Video and Pan Entertainment"

Tencent Cloud's sailing strategy is very focused--

Where there are games, social interaction, audio and video interaction, there is tengxunyun

.

Core Advantage: Tengxun Cloud has completely exported its ultra-low latency network (TRTC) and high concurrent game architecture capabilities tempered on WeChat, the glory of the king and other national-level products. In the AI era, Tengxun Cloud International Edition focuses on the Hunyuan (mixed element) model and will upgrade it to a TokenHub platform in 2026, focusing on multi-Agent orchestration (Multi-Agent Orchestration) and GraphRAG (enhanced generation of map retrieval). SLA (Service Level Agreement) is extremely hard core in overseas pan-entertainment, game sailing and e-commerce live broadcast fields.

Architect's comment: If your business involves overseas live broadcast, real-time audio and video entertainment, or high concurrent game server pull-up, Tencent Cloud's edge node distribution and network optimization are definitely the first echelon.

6. Huawei Cloud International Edition (HUAWEI CLOUD): Government and Enterprise Hard Core Delivery and "Sovereign Cloud" Pioneer

Huawei Cloud's overseas play is completely different from the previous two. It takes a "heavy-duty brigade" route that takes root in government and enterprises and gnaws hard bones.

Core advantage: HUAWEI CLOUD International Edition has demonstrated its terrifying explosive power in the Middle East, Africa, Latin America and some parts of Europe (such as the newly opened Ireland region). Its core weapons are Huawei Cloud Stack (hybrid cloud architecture) and Pangu Big Model (Pangu Predict). Huawei does not talk to others about the general C- side, but directly helps overseas governments, large airlines and mines to make large industry models (such as intelligent pathology, weather forecasting and traditional industrial automation).

Architect's comment: The advantage of HUAWEI CLOUD lies in the delivery capability of hardware and software integration and the localized personal service team. In many countries with strict requirements for data sovereignty (Sovereign Cloud), HUAWEI CLOUD is willing to go deep into the local area and tailor-make compliant local cloud bases for local governments and large state-owned enterprises.

3. Deep Game: A Horizontal Competition in Four Dimensions

As a system architect, when making a multi-cloud selection, we need to put these six in the same dimension for a brutal comparison of metrics:

[Six Cloud Platform Core Dimension Capability Radar (5 stars out of 5)]]

─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─

│ Evaluate dimensions │ AWS │ Azure │

GCP │ Aliyun │ Tencent Cloud │ Huawei Cloud │

├── ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─

│ IaaS robustness │★★★★★│★★★★☆★★★★☆★★★★☆★★★★☆★★★★☆

├── ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─

│ AI/large model ecology │★★★★☆★★★★★│★★★★★│★★★★☆★★★☆ ☆ ☆★★★★☆

├── ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─

│ Extreme price/performance │★★☆ ☆ ☆★★★☆ ☆ ☆★★★☆ ☆ ☆★★★★★│★★★★★│★★★★☆

├── ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─

│ Cross-border/compliance escort │★★★★★│★★★★★│★★★★☆★★★★☆★★★☆ ☆ ☆★★★★★│

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1. IaaS layer and network robustness: AWS > Azure = GCP≥ Aliyun = HUAWEI CLOUD = Tengxun Cloud

European and American giants in the global backbone network (Global Backbone) construction started more than ten years early, multi-zone (AZ) between the fiber disaster tolerance design is the most stringent.

The node density of China's top three in Southeast Asia and the Middle East is catching up very fast, but the number of underlying computer rooms in Europe and the United States is still slightly lower. However, the network console of Chinese cloud vendors is more in line with the habits of Chinese engineers, and the cross-border dedicated line opening and whitelist configuration process is more efficient.

2. AI, Agent and Big Data Ecology: Azure = GCP> AWS> Aliyun>

HUAWEI CLOUD> Tengxun Cloud

Microsoft wins on OpenAI's commercial landing and ecological depth; Google wins on the TPU computing base and BigQuery data gravity.

With the open source Qwen community, Aliyun has attracted a large number of developers overseas, and its ecological vitality is the strongest among domestic products. HUAWEI CLOUD has demonstrated a high degree of professionalism in the traditional B- side through the industry model (Pangu).

3. price and cost performance (ROI): China's top three (Ali/Tencent/Huawei) >> GCP > Azure > AWS

AWS is famous for its expensive, and its various hidden API call fees and IOPS fees make architects walk on thin ice when budgeting.

In contrast, Ali, Tencent, and Huawei International have launched large-scale price reduction strategies overseas in the past two years, and business negotiations are extremely flexible (large customers often get amazing discounts). In terms of computing resources, bandwidth and CDN costs, China's top three are excellent choices for overseas enterprises to control Burn Rate (capital consumption rate).

Global Compliance and Political Risk (GDPR/HIPAA/Sovereign Compliance)

If your core market is in Europe and the United States and belongs to the highly sensitive financial and medical industries, AWS and Azure are almost the only options that can pass customer compliance audits.

If your market is in Southeast Asia, the Middle East, Africa and Latin America, and you need to deal with the local changeable "data does not leave the country" law, Huawei Cloud and Aliyun's "sovereign cloud/localization deployment" scheme can often solve the pain points of government and enterprises more grounded than European and American manufacturers.

The Golden Rule of 4. 2026 Architect Selection: Don't Put Eggs in One Basket

After reading the strength cards of the six cloud platforms, as the chief architect, I provide a set for the team preparing to go to sea or reconstruct the technology stack.

Multi-Cloud Selection (Multi-Cloud) Gold Combination Formula

:

Formula 1: Extreme Business Innovation (focusing on Europe, America/the World) Core Combination: Azure(AI/Business Layer) AWS (Robust Infrastructure) Logic: Use Azure to access the world's top GPT-4o computing power and Agent framework, and hang the core customer data and highly concurrent Web services on AWS to ensure foolproof.

Formula 2: Pan-Entertainment/Game Sea Type (Asia Pacific/Southeast Asia/Middle East) Core Combination: Tengxun Cloud International Edition (Audio and Video/Game Edge) GCP (Big Data Analysis) Logic: Use Tengxun Cloud's extremely low global network delay to handle front-end audio and video confrontation, import massive logs and player data into GCP BigQuery, and do low-cost, high-performance AI data mining.

Formula 3: core combination of globalization and cross-border business (Chinese enterprises going to sea): ariyun international edition (Asia Pacific/Middle East base camp) AWS/Azure (European and American compliance node) logic: in Asia Pacific and Middle East, use ariyun international

Version (Model Studio Qwen model), enjoy high cost performance and Chinese support services, enter the sensitive markets in Europe and the United States, through the cloud enterprise network (CEN) bridge to AWS/Azure landing, perfect to avoid compliance risks.

To sum up in one sentence:

In 2026, there is no perfect cloud, only the architecture combination that best fits your business boundaries and financial budget. Smart architects never believe in PPT of any cloud manufacturer, but spell out the safest, cheapest and most agile technology moat for enterprises in the gap between clouds.

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