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
AIMIT News AI
Headline
3 Questions: What is the best path forward for AI in academia?
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
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AINVIDIA Blog
Headline
Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents
Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA...
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CloudNVIDIA Blog
Headline
Rally Up: ‘Gears of War: E-Day’ Launches on GeForce NOW
Gears of War: E-Day leads the charge on GeForce NOW this week, bringing Marcus Fenix and Dom Santiago’s first fight against the Locust Horde to the cloud with GeForce RTX-powered performance. A new way to join the act...
Read InsightAIMIT News AI
Headline
3 Questions: What is the best path forward for AI in academia?
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
Read InsightAINVIDIA Blog
Headline
Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents
Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA...
Read InsightCloudNVIDIA Blog
Headline
Rally Up: ‘Gears of War: E-Day’ Launches on GeForce NOW
Gears of War: E-Day leads the charge on GeForce NOW this week, bringing Marcus Fenix and Dom Santiago’s first fight against the Locust Horde to the cloud with GeForce RTX-powered performance. A new way to join the act...
Read Insight
Data CenterMIT News AI
Headline
Using AI to mitigate the growing environmental threat of data centers
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
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AINVIDIA Blog
Headline
NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents
At a Microsoft event in San Francisco on Wednesday, NVIDIA founder and CEO Jensen Huang and Microsoft CEO Satya Nadella outlined how NVIDIA and Microsoft are co-engineering hardware and software for AI agents to run o...
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GPUMIT News AI
Headline
Supercomputing researchers document evolution of AI hardware
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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