
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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CloudHeadline
This GFN Thursday brings more games, more power and more ways to play on GeForce NOW. The cloud gaming service is expanding with a new GeForce RTX 5080-powered server in Toronto, bringing dedicated high performance in...
Read Insight
AIHeadline
NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchestration platform. LangChain tuned its Deep Agents harness for NVIDIA...
Read Insight
AIHeadline
A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.
Read Insight
CloudHeadline
This GFN Thursday brings more games, more power and more ways to play on GeForce NOW. The cloud gaming service is expanding with a new GeForce RTX 5080-powered server in Toronto, bringing dedicated high performance in...
Read Insight
AIHeadline
NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchestration platform. LangChain tuned its Deep Agents harness for NVIDIA...
Read Insight
AIHeadline
A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.
Read Insight
AIHeadline
Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era. Across the creation and deployment of an agentic system, the CPU is on the critical path for reasoning, response time and lear...
Read Insight
AIHeadline
The professor of physics and inaugural director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions will lead LNS and continue his research in particle physics.
Read Insight
AIHeadline
Open source AI has shown how quickly developers can innovate when models, data and tools are shared. Robotics has the same opportunity, but advancements in physical AI development can still be gated by costly and frag...
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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