How Can Overseas Enterprise Clients Connect to the Nearest PoP for GPU and Compute Clusters in China?

What experience issues do overseas clients often encounter when connecting to compute centres in China?

When overseas clients use a compute platform in China, their daily operations involve three types of connections with very different network requirements. If all of them travel directly across borders to the domestic data centre over the public internet, they easily interfere with one another during peak hours:

• Web consoles and online API calls: When clients log in to the dashboard to submit training jobs, check container status, or call streaming inference APIs, packet loss on the cross-border public internet causes pages to stall or return API timeout errors.
• SSH remote development and code debugging: Algorithm engineers connecting remotely to containers via terminal or VS Code Remote to write code are highly sensitive to network jitter. Fluctuations and packet loss on cross-border links cause noticeable delays when typing characters and frequent disconnects that disrupt development work.
• Large dataset uploads and training result returns: When clients upload training datasets or download large fine-tuning checkpoints and result files back overseas, they need sustained transfer throughput over long periods; if large file transfers share an undifferentiated channel with real-time operations, a single bulk file download can easily cause lag for other clients' SSH sessions and API calls in the same data centre.

It is also helpful to distinguish high-speed interconnects between multiple GPU servers inside the data centre (such as InfiniBand or RoCE networks), which belong to the internal data centre compute network; if a client reports that a job is running slowly, you can check whether internal compute and storage are busy or whether the cross-border network path from the overseas client into the data centre is slow.

How we let overseas clients connect to the nearest PoP for compute services in China

To prevent overseas clients from traversing long, unstable public internet routes all the way back to China, we use our application publishing and cross-border transmission service to extend your compute service entry points near the countries or regions where your overseas clients operate: clients connect to the nearest PoP locally, and their traffic is then delivered reliably to your compute data centre in China over our cross-border transmission channel.

In production delivery, this access architecture addresses multiple compute platform needs at once:

• Full support for common compute platform protocols and bidirectional transfers: Compute services differ from standard website caching for static images and web pages (industry references such as the AWS Global Accelerator FAQ draw a similar distinction between static content CDN caching and network acceleration for dynamic TCP/UDP traffic; cited here for conceptual reference only and does not imply equivalence with AWS capabilities). Our application publishing supports TCP, UDP, and HTTP(S) protocols—carrying web consoles, API endpoints, SSH remote development, and custom port services directly—and covers bidirectional traffic for both clients uploading commands and data inbound and compute centres returning streaming responses and large files outbound.
• Unified handling of the data centre's own overseas downloads and fixed egress needs: Compute centres in China often also need to pull open-source models and container images from overseas platforms such as Hugging Face and GitHub, or use fixed outbound IP addresses when sending webhooks back to overseas client systems. We coordinate "overseas clients connecting to the nearest PoP (inbound)" and "compute centres pulling overseas models at high speed or accessing external systems from fixed IPs (outbound)" within the same access solution, applying separate protection policies for large file transfers and real-time interactive traffic.
• Use existing data centre networks and scale up bandwidth on demand: Domestic data centres can connect quickly over their existing network infrastructure without waiting for the long construction lead times of traditional cross-border physical dedicated lines; as overseas client counts and file transfer volumes grow, bandwidth can be scaled up on demand.

Coordinating port security, platform quota management, and connection logging

When opening access to overseas clients, security boundaries and platform management responsibilities remain clearly defined:

• Expose only required service ports: We configure access controls and address translation on the access devices so only explicitly designated external API gateways and SSH jump ports are published, keeping internal data centre management networks and storage networks strictly isolated.
• Accounts, quotas, and billing remain under compute platform control: Client account logins, API key validation, GPU usage quota (GPU-hour) deductions, and anti-abuse rate limiting continue to be managed by the compute platform's own business systems without changing your existing billing logic.
• Comprehensive connection logs and zero-trust integration: Our access devices support logging DNS queries and 5-tuple connection logs (including source address, source port, protocol, destination address, destination port, data volume, and start/end timestamps) for security audits or billing reconciliation; if enterprise clients overseas require identity-based authorisation to access dedicated compute environments, third-party zero-trust application connectors can also be deployed on our access devices to integrate with their existing security stack.

Verifying performance from target client regions and starting your consultation

Because physical fibre distances from Southeast Asia, Europe, North America, and the Middle East to mainland China vary, minimum round-trip latency naturally differs by region, so we do not promise a uniform global millisecond figure before understanding where your clients are located. Once connected, you can test opening the web console, calling APIs, typing interactive SSH commands, and transferring large models or result files directly from your target clients' regions to verify the improvement firsthand.