en.Wedoany.com Reported - On June 4, Australian automated infrastructure platform provider Megaport launched the Megaport Storage service, integrating enterprise-grade cloud storage into its global network backbone and Latitude.sh computing platform. The service targets artificial intelligence, edge computing, backup and recovery, high-availability architecture, and distributed application scenarios, aiming to unify computing, networking, and storage within a single software-defined infrastructure.
Megaport was previously known in the market primarily as a Network-as-a-Service platform, helping enterprises quickly connect to cloud service providers, data centers, and global network nodes. With the addition of storage capabilities, its platform form has significantly expanded: enterprises can now not only schedule connectivity resources through Megaport but also configure storage, computing, and network paths within the same platform. For data-intensive businesses, this integration directly addresses pain points in current multi-cloud and distributed architectures. A large amount of enterprise data is scattered across different clouds, regions, and systems, with training data, logs, backups, business files, and analytics data needing frequent movement between storage and computing. Public network transmission often leads to bottlenecks, latency, and unpredictable costs. Megaport Storage connects high-performance block storage, file storage, and object storage to its dedicated network and computing resources, focusing on alleviating enterprise pressures related to data movement, recovery speed, access stability, and cost control.
The service supports high-speed backup and recovery, direct data access, data provisioning for AI training, shared storage in bare metal environments, and monthly TB-based pricing, emphasizing zero egress traffic fees, no API fees, and no retrieval fees.
This product evolution reflects a shift in the digital infrastructure market from single-point resource procurement to platform-based orchestration. Artificial intelligence and edge applications are driving enterprises to reassess their infrastructure architectures, as simply purchasing cloud storage or cloud computing can no longer meet requirements for low latency, high throughput, and cross-regional deployment. Model training requires large-scale data to be rapidly delivered to computing clusters, while inference tasks demand computing power closer to users and data sources; backup and recovery scenarios require critical data paths to remain controllable during failures, attacks, or regional outages. By integrating storage into its existing network and computing platform, Megaport can create shorter data paths on the enterprise side and reduce management complexity in cross-cloud and cross-platform migrations. For the communication network and cloud infrastructure industry, this means network service providers are extending into higher-level computing and data infrastructure, with future competition focusing more on automated deployment capabilities, global node coverage, data movement efficiency, and cost transparency.
The subsequent impact of Megaport Storage will depend on the adoption speed among enterprise customers in AI training, edge computing, disaster recovery, and sovereign infrastructure. As global enterprises continue to deploy applications in multi-cloud, multi-region, and hybrid infrastructure environments, platforms capable of simultaneously providing networking, computing, and storage orchestration may gain higher bargaining power in the next wave of enterprise infrastructure upgrades.
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