Cloud + Compute Infrastructure

Build Reliable Cloud Foundations, Unlock Compute Value

Beijing Fangyuanxing Technology Co., Ltd. provides integrated cloud and compute services from architecture planning to resource delivery and long-term operations, enabling enterprise digital transformation and AI innovation.

Multi-Cloud / Hybrid GPU / CPU Compute Cloud-Native DevOps Security & Compliance Observability / AIOps

Minute-Level

Resource provisioning and scaling

7x24

Expert operations and support

End-to-End

From planning to managed operations

Core Services

What We Deliver

Enterprise Cloud Infrastructure

Compute, storage, networking, and disaster recovery across public, private, and hybrid cloud models.

High-Performance Compute

CPU/GPU compute pools, cluster scheduling, and elastic orchestration for training and inference workloads.

Cloud-Native Platform & DevOps

Containerization, CI/CD pipelines, and observability systems to accelerate software delivery quality.

Security & Managed Operations

Access control, data protection, audit visibility, and 24/7 managed services for business continuity.

Technology Strength

Why Fangyuanxing

Unified Resource Orchestration

Intelligent scheduling across multi-cloud and multi-cluster environments for better utilization.

High-Availability Architecture

Multi-zone deployment, automated failover, and DR readiness for mission-critical workloads.

Observability & AIOps

Metrics, logs, tracing, and intelligent alerts to detect issues earlier and recover faster.

Expert Delivery Team

Consulting, migration, optimization, and managed services focused on measurable business outcomes.

Industry Scenarios

Where We Create Value

AI Training and Inference

Stable compute foundations for LLM training, visual recognition, recommendation, and more.

Enterprise Core System Migration

Secure and efficient migration of ERP, CRM, and data platforms while balancing cost and performance.

High-Concurrency Campaign Peaks

Elastic scaling strategies for promotions, streaming, and high-traffic events with stable UX.

Research and Engineering Compute

Parallel processing support for simulation, analytics, and model-driven engineering workloads.

Client Cases

Case Highlights

Smart Manufacturing

Hybrid Cloud Upgrade for Factory Systems

Enabled multi-site cloud migration and improved peak-time elasticity and cross-region access.

FinTech

Compute Efficiency for Risk Services

Built GPU compute pools with automated scheduling to shorten model training cycles.

Internet Platform

Traffic Surge Protection Strategy

Delivered observability and autoscaling policies for stable campaign-period operations.

Partnership

Partner Ecosystem

Cloud and infrastructure ecosystem
Chip and server vendors
Security and network partners
Industry ISV collaborators
Data and middleware ecosystem
Universities and research institutes

News

Latest Updates

Demo placeholders below. Replace with your actual company announcements.

Published Hybrid Cloud Practice Guide

Covering architecture selection, cost governance, and secure implementation patterns.

Compute Scheduling Platform Upgraded

Added multi-tenant isolation and priority policies to improve resource efficiency.

Recognized in Cloud Innovation Program

Shared cloud-native operation practices and multi-scenario delivery capability.

About Us

About Beijing Fangyuanxing Technology Co., Ltd.

Company Profile

We are committed to being a trusted cloud and compute partner for enterprise clients. With engineering-led delivery, we provide complete solutions spanning cloud foundations, intelligent compute resources, and ongoing operations.

Values

  • Outcome-focused execution aligned with client business goals.
  • Security and compliance first to protect data and continuity.
  • Continuous innovation for efficient cloud and compute operations.

Start Your Cloud and Compute Upgrade

Reach out for architecture planning, project assessment, and pricing consultation.

Email: anxiaoling@fangyuanxing.cn Phone: +86 185 1992 1535 Address: Zhongguancun No.1, Haidian District, Beijing