Deploy and scale AI anywhere
High-speed network for AI connectivity
One-stop access to global models
AI compute for every workload
On-demand dedicated servers
Scalable virtual servers
Onramp to public clouds
Layer 3 mesh network
Layer 2 point-to-point connectivity
Virtual access gateway to private backbone
High performance internet access
Improve application peformance
Global content delivery network
Colocation close to end users
Traditional networks can’t catch up to dynamic AI workloads that need rapid iterations, flexibility, visibility, and real time control. As AI models scale across regions and environments, the network is no longer just a transport layer. It’s become a core AI lifecycle orchestrator, enabling low latency movement of data, models, and GPU clusters to accelerate optimization end to end.
Configure connections instantly through APIs that integrate directly with orchestration systems.
Establish high-bandwidth paths in minutes during training without deploying any hardware
Ingest training data rapidly with direct connections to AWS, Azure, Google Cloud, and more
Move models and training data on dedicated, private Layer 2 links free from prying eyes and jitter.
Run inference at edge locations near your users for faster responses and lower latency.
Link major AI hubs like Singapore, Hong Kong, Tokyo, Jakarta, Los Angeles, and Frankfurt.
Core data centers
Edge data centers
Network redundancy
Network latency
Ports
Underlying technology
Singapore-Johor dedicated line
Move AI data with ultra-low latency between Asia’s key AI hubs.
Network Capacity
Network Latency
Ports
Connect with an AI expert to power your AI workloads globally with reliable, ultra-low latency network performance.