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AI COMPUTE INFRASTRUCTURE

Compute New World

Integrating global compute resources to deliver a simpler, faster, and more reliable AI compute experience.

GPU CAPACITY

Built for AI Compute

Explore flexible compute capacity for training, inference, rendering, and enterprise-scale AI workloads.

Inference

RTX 4090 Cluster

Inference Edge Pool

Compact GPU capacity for latency-sensitive inference and prototype deployments.

Training

NVIDIA A100

A100 Training Fabric

Training-ready GPU capacity for fine-tuning, batch inference, and data-heavy AI jobs.

Enterprise

NVIDIA H100

H100 Enterprise Grid

Enterprise-grade GPU capacity for large model training and high-throughput AI systems.

E-Class

72 x NVIDIA Blackwell GPUs

E-Class GB200 NVL72 Fabric

Rack-scale Blackwell infrastructure engineered for sovereign AI training and extreme inference throughput.

PLATFORM WORKFLOW

How CNW Turns Distributed Compute into Usable Capacity

CNW brings scattered compute resources into one network, standardizes access, and allocates suitable capacity to real AI workloads.

01

Connect Resources

CNW connects compute capacity from data centers, enterprise server rooms, edge nodes, workstations, and qualified high-performance devices.

02

Unify Access

Different chips, hardware specifications, locations, and operating environments are organized through a standardized access layer.

03

Allocate Compute

The scheduling engine matches each workload with suitable resources based on performance, availability, cost, and deployment needs.

GLOBAL FACILITY NETWORK

Infrastructure Built for AI Workloads

A visual overview of compute environments prepared for GPU deployment, power stability, cooling efficiency, and secure operations.

MGX AI and advanced technology investment platform overview

Ecosystem Endorsement

MGX AI Infrastructure

MGX highlights the broader direction of AI and advanced technology infrastructure, reinforcing the platform's focus on global compute capacity, data center readiness, and long-term operational reliability.

Founded2024
FocusAI & Advanced Tech
PlatformGlobal Investment
High-density GPU Rooms

High-density GPU Rooms

Built for AI training, inference, and large-scale compute deployment.

Modern Data Center Operations

Modern Data Center Operations

Designed for uptime, hardware stability, and scalable compute access.

Global Compute Access

Global Compute Access

Prepared for enterprise workloads, AI applications, and future capacity expansion.

Secure Infrastructure Layer

Secure Infrastructure Layer

Focused on controlled access, operational visibility, and infrastructure reliability.

Scalable Compute Environment

Scalable Compute Environment

Prepared for flexible capacity planning and future AI infrastructure expansion.

WHITEPAPER SUMMARY

Built for the AI Compute Era

CNW is built for the AI compute era: integrating global capacity, standardizing access, and improving resource utilization for training, inference, and enterprise workloads.

Global Capacity
Standardized Access
Resource Utilization
Enterprise Workloads

AI compute network model

PLATFORM ADVANTAGES

Why CNW Stands Apart

A focused AI compute platform built around resource aggregation, unified access, intelligent scheduling, and mobile-first visibility.

Global Compute Integration

Connect distributed compute capacity across regions, facilities, and resource types.

Standardized Resource Access

Turn different hardware environments into a cleaner and more consistent access experience.

Intelligent Scheduling

Match workload demand with suitable capacity through performance, availability, and cost-aware allocation.

Secure Operational Visibility

Support account, resource, and activity visibility through structured operational workflows.

News

AI Industry Updates

Selected signals from AI infrastructure, GPU compute, and data center markets.

ECOSYSTEM PARTNERS

Connected with Leading AI, GPU, and Cloud Infrastructure

CNW works across a trusted ecosystem of GPU, cloud, AI, and infrastructure partners to support modern compute workloads.

NVIDIA

GPU

AMD

GPU

Google Cloud

Cloud

Microsoft Azure

Cloud

Oracle Cloud

Cloud

AWS

Cloud

Cloudflare

Edge

MGX

AI Infrastructure

OpenAI

AI

Hugging Face

Models

Kubernetes

Orchestration

Docker

Runtime

PyTorch

Framework