
Inference
RTX 4090 ClusterInference Edge Pool
Compact GPU capacity for latency-sensitive inference and prototype deployments.
Integrating global compute resources to deliver a simpler, faster, and more reliable AI compute experience.
GPU CAPACITY
Explore flexible compute capacity for training, inference, rendering, and enterprise-scale AI workloads.

Inference
RTX 4090 ClusterCompact GPU capacity for latency-sensitive inference and prototype deployments.

Training
NVIDIA A100Training-ready GPU capacity for fine-tuning, batch inference, and data-heavy AI jobs.

Enterprise
NVIDIA H100Enterprise-grade GPU capacity for large model training and high-throughput AI systems.

E-Class
72 x NVIDIA Blackwell GPUsRack-scale Blackwell infrastructure engineered for sovereign AI training and extreme inference throughput.
PLATFORM WORKFLOW
CNW brings scattered compute resources into one network, standardizes access, and allocates suitable capacity to real AI workloads.
CNW connects compute capacity from data centers, enterprise server rooms, edge nodes, workstations, and qualified high-performance devices.
Different chips, hardware specifications, locations, and operating environments are organized through a standardized access layer.
The scheduling engine matches each workload with suitable resources based on performance, availability, cost, and deployment needs.
GLOBAL FACILITY NETWORK
A visual overview of compute environments prepared for GPU deployment, power stability, cooling efficiency, and secure operations.

Ecosystem Endorsement
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.

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

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

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

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

Prepared for flexible capacity planning and future AI infrastructure expansion.
WHITEPAPER SUMMARY
CNW is built for the AI compute era: integrating global capacity, standardizing access, and improving resource utilization for training, inference, and enterprise workloads.
AI compute network model
PLATFORM ADVANTAGES
A focused AI compute platform built around resource aggregation, unified access, intelligent scheduling, and mobile-first visibility.
Connect distributed compute capacity across regions, facilities, and resource types.
Turn different hardware environments into a cleaner and more consistent access experience.
Match workload demand with suitable capacity through performance, availability, and cost-aware allocation.
Support account, resource, and activity visibility through structured operational workflows.
News
Selected signals from AI infrastructure, GPU compute, and data center markets.
Selected signals from AI infrastructure, GPU compute, and data center markets.
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GPUHeadline
The Barcelona Supercomputing Center (BSC)’s AI Factory Accelerator Programme, now in full operation following a pilot initiative, gives startups access to sovereign compute, technical support and training to support i...
Read Insight
AIHeadline
In the cavernous hall of Kraftwerk, a former power station in Berlin, German Chancellor Friedrich Merz and NVIDIA founder and CEO Jensen Huang sat down to discuss Germany’s AI roadmap, and in particular, the industria...
Read Insight
AIHeadline
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
Read Insight
GPUHeadline
The Barcelona Supercomputing Center (BSC)’s AI Factory Accelerator Programme, now in full operation following a pilot initiative, gives startups access to sovereign compute, technical support and training to support i...
Read Insight
AIHeadline
In the cavernous hall of Kraftwerk, a former power station in Berlin, German Chancellor Friedrich Merz and NVIDIA founder and CEO Jensen Huang sat down to discuss Germany’s AI roadmap, and in particular, the industria...
Read Insight
AIHeadline
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
Read Insight
AIHeadline
New research can help AI models understand crystalline materials in 3D and reason about their properties.
Read Insight
AIHeadline
NVIDIA RTX Spark laptops are now available, bringing NVIDIA Blackwell RTX graphics, up to 128GB of unified memory and the full NVIDIA AI platform to slim, premium Windows PCs. Starting at $2,399, laptops from ASUS, De...
Read Insight
AIHeadline
MIT's Center for Transportation and Logistics finds sustainability commitments are strong, but governance gaps and external disruptions prevent execution.
Read InsightECOSYSTEM PARTNERS
CNW works across a trusted ecosystem of GPU, cloud, AI, and infrastructure partners to support modern compute workloads.
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