Inference
RTX 4090 ClusterInference Edge Pool
Compact GPU capacity for latency-sensitive inference and prototype deployments.
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.
Training
NVIDIA A100A100 Training Fabric
Training-ready GPU capacity for fine-tuning, batch inference, and data-heavy AI jobs.
Enterprise
NVIDIA H100H100 Enterprise Grid
Enterprise-grade GPU capacity for large model training and high-throughput AI systems.
E-Class
72 x NVIDIA Blackwell GPUsE-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.
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
Built for AI training, inference, and large-scale compute deployment.
Modern Data Center Operations
Designed for uptime, hardware stability, and scalable compute access.
Global Compute Access
Prepared for enterprise workloads, AI applications, and future capacity expansion.
Secure Infrastructure Layer
Focused on controlled access, operational visibility, and infrastructure reliability.
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.
Selected signals from AI infrastructure, GPU compute, and data center markets.
View all
CloudNVIDIA Blog
Headline
Firebird Launches CIS Region’s Largest AI Factory in Armenia
The global buildout of AI infrastructure reached a new milestone today — Firebird, an emerging AI cloud, launched the CIS region’s largest AI factory in Armenia, establishing a new AI computing hub powered by NVIDIA a...
Read Insight
AINVIDIA Blog
Headline
Into the Omniverse: How Open World Models Push the Frontier of Physical AI
In July, NVIDIA joined more than 200 companies and organizations in signing “Open Weights and American AI Leadership,” an open letter arguing that AI leadership will be measured not by any single frontier model but by...
Read Insight
AINVIDIA Blog
Headline
NVIDIA and Partners Build in America, for America
NVIDIA and its partners are investing in American manufacturing, supply chains, energy grids and skilled workforces so the U.S. can produce the infrastructure needed for better healthcare, breakthrough scientific disc...
Read InsightCloudNVIDIA Blog
Headline
Firebird Launches CIS Region’s Largest AI Factory in Armenia
The global buildout of AI infrastructure reached a new milestone today — Firebird, an emerging AI cloud, launched the CIS region’s largest AI factory in Armenia, establishing a new AI computing hub powered by NVIDIA a...
Read InsightAINVIDIA Blog
Headline
Into the Omniverse: How Open World Models Push the Frontier of Physical AI
In July, NVIDIA joined more than 200 companies and organizations in signing “Open Weights and American AI Leadership,” an open letter arguing that AI leadership will be measured not by any single frontier model but by...
Read InsightAINVIDIA Blog
Headline
NVIDIA and Partners Build in America, for America
NVIDIA and its partners are investing in American manufacturing, supply chains, energy grids and skilled workforces so the U.S. can produce the infrastructure needed for better healthcare, breakthrough scientific disc...
Read Insight
AINVIDIA Blog
Headline
NVIDIA Joins NSF State and Regional AI Hubs Program to Expand AI Research and Education Across the US
NVIDIA is participating in the U.S. National Science Foundation’s (NSF) State and Regional Artificial Intelligence Infrastructure Hubs program, an effort launching today to expand access to the advanced computing, dat...
Read Insight
AINVIDIA Blog
Headline
NVIDIA Alpamayo 2 Super, the Frontier Open Model for Robotaxis and Autonomous Vehicles, Now Available for Commercial Use
For robotaxis and other autonomous vehicles (AVs), the hardest problems aren’t the everyday scenarios. They’re the rare, complex situations that are difficult to anticipate and train for. Handling these long‑tail even...
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AINVIDIA Blog
Headline
As AI Increases Demands on Memory, Storage Steps Up
Surging AI demands are driving the need for massive datasets and context windows that burst past the confines of system memory. But rising needs aren’t met by simply adding more storage capacity. What’s needed is usef...
Read InsightECOSYSTEM 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