Project-scale throughput
Aggregate capacity can scale beyond 10Gbps for qualified production workloads.
AI data collection infrastructure
High-bandwidth proxy IP for AI-scale data collection
Project-based proxy infrastructure for high-volume video, image, audio, code, and public web data acquisition. Combine unmetered traffic, dedicated capacity, and target-specific proxy pools.
10Gbps+ per-project capacityUnmetered trafficCustom proxy pools24/7 technical support
AI data collection infrastructureready
PROJECT CAPACITY123PROXY NETWORK
PRODUCT PROFILE10Gbps+ aggregate project bandwidthDesigned around real datasets and completion windows
READY
TRAFFICUnmetered
PROXY POOLTarget-specific
PROTOCOLHTTP(S) / SOCKS
DELIVERYProject-based
Client123ProxyTarget
10Gbps+Per-project capacity
UnmeteredNo per-GB billing
Custom poolsBuilt around target sites
24/7Enterprise support
01 / Product capability
Treat bandwidth, routing, and cost as one production system
High-bandwidth proxy projects are designed from actual object sizes, concurrency, target behavior, daily runtime, and delivery deadlines rather than a generic traffic package.
Unmetered traffic
Avoid per-GB billing for sustained media and large-object downloads.
Target-specific proxy pools
Route requests through resources selected for the target sites and data types.
Multimodal data
Support video, image, audio, code, document, and public web datasets.
Capacity planning
Size workers, connections, retries, and bandwidth against a measurable completion window.
Enterprise operations
Production onboarding, troubleshooting, monitoring guidance, and ongoing support.
02 / Project design
Capacity is scoped from the real data workload
Share target sites, data types, expected scale, object sizes, runtime, and delivery deadline. The resulting plan defines proxy pools, aggregate bandwidth, access controls, and rollout stages.
Custom capacity instead of a standard package
High-bandwidth proxy IP is not sold from a fixed public package table. It is assessed and delivered as a production data infrastructure project.
10Gbps+Aggregate project capacity
Request an assessment
- Capacity model
- Aggregate bandwidth
- Traffic
- Unmetered
- Routing
- Target-specific pools
- Commercial model
- Project-based
Planning note
Measure useful throughput, not only link speed
Target response time, retry rate, object size, connection reuse, and worker efficiency all affect completed data volume. A capacity test should report successful objects per hour and usable bytes delivered.
03 / Workloads
Built for large objects and sustained acquisition
Use high-bandwidth proxy infrastructure when completion time and sustained transfer volume matter more than rotating through a standard proxy package.
Video and audio datasets
Sustained media downloads for multimodal training, evaluation, and retrieval systems.
Image and document corpora
Parallel acquisition of image assets, documents, metadata, and related public resources.
Code and public web archives
Large repository, documentation, and public web acquisition jobs with controlled routing.
04 / How it works
Turn a data requirement into measurable proxy capacity
Start with a representative workload, validate target behavior, then scale workers and aggregate bandwidth in controlled stages.
01
Define the workload
Provide target sites, data types, expected volume, geography, and delivery deadline.
02
Run a representative test
Measure object size, success rate, response time, retries, and usable throughput.
03
Design pools and capacity
Select routing resources, authentication, worker limits, and aggregate bandwidth.
04
Scale with telemetry
Increase capacity while monitoring useful throughput and target-specific behavior.
Proxy service architecture123Proxy network
ApplicationCLIENT
AuthenticationAUTH
123ProxyROUTE
Public targetRESPONSE
Commercial modelProject-based
TrafficUnmetered
Capacity10Gbps+
05 / Specifications
Product boundaries and technical facts
Available locations, inventory, bandwidth, and package options are subject to the current console and pricing page.
- Service type
- Enterprise high-bandwidth proxy infrastructure
- Traffic model
- Unmetered within the agreed project capacity
- Capacity
- 10Gbps+ aggregate bandwidth for qualified projects
- Proxy resources
- Target-specific pools and routing strategy
- Protocols
- HTTP(S) / SOCKS, subject to the final design
- Support
- 24/7 enterprise technical support
06 / Developer access
Integrate with standard proxy clients and data workers
Keep the application on standard proxy protocols while the network plan handles routing, capacity, and proxy resources. Production guidance includes timeouts, retries, connection reuse, and worker scaling.
Standard HTTP proxy configurationExplicit timeout and retry policyProduction monitoring by workload
Python
import requests
proxy = "http://project-customer:YOUR_PASSWORD@proxy.123proxy.cn:9000"
proxies = {"http": proxy, "https": proxy}
response = requests.get(
"https://target.example/data",
proxies=proxies,
timeout=20,
)
print(response.status_code)07 / FAQ
Questions to answer before production
Validate the product boundary, package model, target behavior, and capacity with representative requests.
Is high-bandwidth proxy IP a standard package?
No. It is a project-based service assessed from the target sites, data types, expected scale, and completion window.
Is traffic metered by GB?
The project uses an unmetered traffic model within the agreed capacity and service scope.
What data types are supported?
Typical workloads include video, audio, images, code, documents, metadata, and other public web data.
Does 10Gbps+ guarantee that speed from every target?
No. Effective throughput also depends on target response time, connection behavior, retries, object size, and worker efficiency.
How should a production test be evaluated?
Measure successful objects, usable bytes, response time, retry rate, and completed data per hour on representative targets.
Plan proxy capacity around the dataset
Send the target sites, data types, scale, and delivery window for a production capacity assessment.