Indonesian internet services and integrated network access provider HSPnet (PT Parsaoran Global Datatrans) today announced that at the beginning of 2024 it launched high-capacity services of up to 6 Tb/s on its B3JS (Jakarta-Bangka-Bintan-Batam-Singapore) and BDMCS (Batam-Dumai-Medan) cable systems. The transmission routes, totaling around 2,000km across both underwater and land cables, are supported by Ciena’s (NYSE: CIEN) WaveLogic Ai-powered 6500 platform.
“With the go-live of our transmission routes on B3JS and BDMCS, we’re on an upward trajectory to become the main backbone network operator in Indonesia with very strong internet network services. Running on Ciena’s proven coherent optical technology, we’re able to provide a reliable and fast connectivity alternative to all HSPnet customers as well as future-proof our network to meet additional capacity needs over time,” said Daniel Simanjuntak, Technical and Operations Director, PT Parsaoran Global Datatrans.
The activation of the B3JS and BDMCS cables is a collaboration between Ciena, Ciena partner Terrabit Networks, and HSPnet. Leveraging Ciena’s 6500, HSPnet is able to offer 100G to 400G wavelength services to its Tier 1 and Tier 2 Indonesian telco customers. Ciena’s 6500 also provides power and space efficiency benefits, enabling HSPnet to reduce energy consumption.
“By increasing its network capacity on these critical routes connecting key economic hubs in ASEAN, HSPnet is well-positioned to provide seamless data exchange and enable business competitiveness on a global scale. Cloud and edge computing applications, secured Artificial Intelligence workloads, and low-latency data center interconnect (DCI) applications can now be supported by Ciena’s underlying WaveLogic technology,” said Jamie Jefferies, Vice President and General Manager, Ciena International.
Additional Resources:
- Video: In the lab: Ciena’s 6500 Family of Packet-Optical Platforms
- Video: Maximizing your 6500 network investment with new technology innovations
- Video: Chalk Talk – WaveLogic Ai
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