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Computing-Network Convergence as a Service (XaaS) Platform

1) Subscription fees based on platform usage or computing volume; 2) Implementation and service fees for private deploym

MODEL

Key Fields

FIELD STAMPS

IndustryCloud Computing

RegionChina

ScaleGiant

ChannelHybrid

📌 Background

With the explosion of AI computing demand in 2026, enterprises have widely adopted multi-cloud architectures, yet face significant challenges with fragmented computing power and siloed management. FusionOne has launched the FusionOne XaaS Computing-Network Convergence platform, which integrates distributed computing resources into a 'unified global network' to orchestrate multi-cloud and heterogeneous resources. This model aligns with the 'East Data, West Computing' initiative and AI large model scheduling trends, becoming a focal point in the cloud management sector in 2026.

👤 Target Customers

Large and medium-sized enterprises requiring unified orchestration of multi-cloud or multi-center computing resources, including AI companies, research institutions, and government/enterprise clients; paid for by CTOs or cloud cost administrators.

💰 Revenue Streams

1) Subscription fees based on platform usage or computing volume; 2) Implementation and service fees for private deployment and customized development for large clients; 3) Potential future revenue share from computing power trading and matching.

🧮 Cost Structure

R&D investment (distributed scheduling, network optimization, heterogeneous adaptation), hardware compatibility testing, sales and channel costs, and long-term maintenance and support costs.

🛡️ Moat

A hardware-software integrated solution that works in deep synergy with FusionOne computing hardware; 'Computing-Network Convergence' scheduling capabilities create a technical barrier; leverages FusionOne's existing government/enterprise client base and channel network.

🔑 Keys to Success

Integrate network and computing orchestration to reduce end-to-end usage costs
Create stickiness through pre-installation with FusionOne server shipments
Develop lighthouse projects for government, enterprise, and large AI clients

⚠️ Risks

Lack of unified standards for computing and networking leads to high costs for heterogeneous adaptation
Customers building in-house cloud management capabilities or opting for open-source solutions may compress commercial opportunities

🏢 Cases

FusionOne XaaS Computing-Network Convergence Platform

📊 SWOT Analysis

Strengths

Hardware-software integration enables lower latency and reduced scheduling costs
Leverages FusionOne server distribution channels for natural access to existing customers

Weaknesses

Platform ecosystem is relatively new; third-party integration capabilities remain to be validated
Less experience in adapting to overseas clouds and heterogeneous GPUs compared to established cloud management vendors

Opportunities

Heterogeneity of AI computing power creates rigid demand for unified scheduling
'East Data, West Computing' policy drives the construction of government and enterprise computing networks

Threats

Competition from proprietary hybrid cloud management platforms offered by major cloud providers
Low-cost scheduling solutions provided by open-source tools and startups

Sources