Key points
- Enabled secure, high-volume data ingestion and preparation on dedicated bare metal with GPU support for global inferencing
- Unified access to prepared datasets through our global backbone fabric with direct connectivity to all major public clouds
- Optimized data movement and cloud connectivity to significantly reduce egress costs and simplify global operations
About the customer
Industry: Industrial AI technology
Needs: Multi-cloud connectivity, cross-border connectivity, data sovereignty compliance, network diversification, vendor consolidation, cost reduction
Zenlayer services used: Bare Metal, Private Connect, Cloud Connect, IP Transit
The customer is a fast-growing industrial AI startup developing machine learning solutions for manufacturing automation. As they geared up to launch their platform and expand into multiple regions, they needed a reliable, high-performance global data architecture to support large-scale data ingestion, secure storage, and seamless access for distributed data science teams across public cloud environments.
Speed, scalability, and data privacy were key to meeting their deadlines and compliance around the world. The AI startup searched for a partner that could deliver quickly while providing the resources and capabilities needed to support their platform’s long-term growth and GPU-enabled workloads.
The challenge: enabling global data access under tight timelines
The customer’s industrial AI platform needed to frequently ingest and prepare massive volumes of data to make it available to data scientists around the world without exposing sensitive operational details. Their existing dataflow relied on inefficient regional replication and cloud uplinks, creating high egress costs, fragmented workflows, and limited visibility into cross-border data movement.
Additionally, they were operating under a tight launch timeline that demanded production-ready infrastructure in days, not weeks. Any delays or architectural missteps would have negatively impacted their time to market and ability to scale into new regions.
Futureproofing data operations via dedicated bare metal
We provisioned eight dedicated, high-performance bare metal servers alongside a scalable storage solution to support continuous data ingestion and preparation, helping the AI platform maintain strict data privacy requirements while ensuring predictable performance during high-volume ingestion.
We deployed this environment in multiple regions to support the customer’s data sovereignty needs and designed it with access to our global GPU-powered inferencing infrastructure, enabling accelerated compute for improved data quality assurance and model validation without re-architecting their platform.
Enabling global data access through a unified fabric and cloud connectivity
To eliminate the customer’s reliance on costly and time-consuming region-specific replication, we leveraged our global private backbone and Cloud Connect to redesign how the AI platform shares prepared datasets with distributed research teams. Data now flows through our unified fabric, keeping sensitive information off public networks while providing direct access to all major public cloud environments.
This setup gives data scientists dependable access to the same datasets from their preferred cloud environments without duplicating storage or managing complex synchronization. Cloud Connect gives the platform native cloud access while helping maintain consistent performance and centralized control over data availability.
Optimizing data movement and network routing to reduce cost and complexity
Using Zenlayer cloud networking services and IP transit, we restructured how the AI startup moves data between regions and into public cloud environments. Their platform’s traffic is now routed more efficiently with no unnecessary regional cloud egress and drastically reduced reliance on expensive uplinks.
By moving data directly through our global private backbone network instead of replicating regional cloud buckets, they minimized ongoing cloud costs while unlocking better visibility and control over global data flows, simplifying ongoing operations by consolidating connectivity and routing under a single platform.
Looking ahead
Now that the AI startup has a scalable, unified multi-cloud environment, they can seamlessly expand into additional regions using the same standardized architecture. As their global footprint and automation services grow, we’ll continue helping the platform scale efficiently while maintaining performance, data privacy, and ease of access for research teams worldwide.
Streamline global operations with Zenlayer
We leveraged our hyperconnected bare metal, global private backbone, and direct connections to leading public clouds to help the customer scale its industrial AI platform with confidence.
If you’re looking to expand your company’s global footprint, improve experiences for users, or accelerate apps or services, talk to a Zenlayer solution expert today.
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