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
Generating scenarios for extreme events, without extreme data
A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
Read Insight
AINVIDIA Blog
Headline
How XPUs Meet a World-Class AI Factory
To generate intelligence at scale, AI factories run continuously, and their economics are defined by delivered output: tokens per second, tokens per watt, cost per token, utilization and uptime. That requires AI infra...
Read Insight
GPUNVIDIA Blog
Headline
With Groq 3 LPX in Full Production, NVIDIA Extends Vera Rubin Inference for Agents
The next era of AI inference won’t be defined by a single breakthrough chip, network or system. It’ll be defined by how every layer of the AI factory works together. That’s why NVIDIA is extending Vera Rubin NVL72 wit...
Read InsightAIMIT News AI
Headline
Generating scenarios for extreme events, without extreme data
A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
Read InsightAINVIDIA Blog
Headline
How XPUs Meet a World-Class AI Factory
To generate intelligence at scale, AI factories run continuously, and their economics are defined by delivered output: tokens per second, tokens per watt, cost per token, utilization and uptime. That requires AI infra...
Read InsightGPUNVIDIA Blog
Headline
With Groq 3 LPX in Full Production, NVIDIA Extends Vera Rubin Inference for Agents
The next era of AI inference won’t be defined by a single breakthrough chip, network or system. It’ll be defined by how every layer of the AI factory works together. That’s why NVIDIA is extending Vera Rubin NVL72 wit...
Read Insight
AINVIDIA Blog
Headline
Up to 30x More Work Per Watt: NVIDIA Vera Rubin NVL72 Sets a New Efficiency Standard for AI Agents
According to OpenRouter data, agentic AI workloads consume 15x more tokens than a simple chat request. Why? Consider what happens when an AI agent researches a company for an investment decision. The agent queries fin...
Read Insight
CloudNVIDIA Blog
Headline
Bring the Fire: Play Games on GeForce NOW With New Firefox Browser Support
It’s a new way into the cloud. GeForce NOW welcomes Firefox support to the cloud, opening up another way to jump into high-performance PC gaming straight from the browser, starting today. Whether on a school laptop or...
Read Insight
AIMIT News AI
Headline
When AI art has no author: Study finds generated images often can’t be traced to training data
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
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