Speed before everything.
1 Gbps+ pipes. Unmetered bandwidth. Static IPs that activate the second you check out. When the target doesn't care about IP type, this is the cheapest, fastest way to move data.
Throughput first.
When the target doesn't care, raw speed wins.
1 Gbps+ pipes
Hosted in tier-1 data centers, peered into the routes you actually use. Single-digit-ms latency intra-region.
Static IPs
Each port = one stable IP. Session-aware workflows just work. no rotation surprises, no broken cookies.
Unlimited bandwidth
Day rate is the rate. Move terabytes through one port and the invoice doesn't move with it.
Instant activation
Top up, click create, get credentials. New ports light up in well under a minute, not after a ticket queue.
Day, week, month. same port.
24 hours
- 1 dedicated DC port
- 1 Gbps+ throughput
- Unlimited bandwidth
- 1,000 concurrent threads
- 2.5k IPs / server location (×2)
- HTTP3 / SOCKS5
- EU + NA gateways
Bulk operations, cheaply.
High-volume crawling
Mirror entire catalogs, public datasets, or open APIs at terabyte scale without the per-GB shock.
Public SERP scraping
Scrape SERPs that don't fingerprint IP type at full speed. datacenter is the right tool here.
SaaS API integration
Hit rate-limited public APIs in parallel from a stable IP that you can also whitelist downstream.
Bulk data ingestion
ETL pipelines pulling from many endpoints simultaneously. saturate your downstream, not your bandwidth bill.
Performance / uptime monitoring
Probe your own services from clean external IPs, every minute, from multiple regions, indefinitely.
Bot infrastructure (where allowed)
Trading, sports analytics, market data. anything where speed and stability beat IP disguise.
Datacenter vs. the rest.
Datacenter is brutally efficient when the target doesn't inspect IP type. The moment a target starts banning ASN ranges, switch up the stack.
Static port, full throughput.
One IP, one port, all the bandwidth. No rotation flags, no session juggling. just fire requests at it and let the pipe do the work.
dc.vaultproxies.com:9000+2.5k IPs / server location (×2)1,000-thread default concurrencyHTTP3 / SOCKS5
import requests
from concurrent.futures import ThreadPoolExecutor
# Static datacenter port. instant, 1 Gbps+, unlimited bandwidth
PROXY = "http://USER:[email protected]:9000"
proxies = {"http": PROXY, "https": PROXY}
def fetch(url):
return requests.get(url, proxies=proxies, timeout=5).status_code
urls = [f"https://api.example.com/v1/items?page={i}" for i in range(10_000)]
with ThreadPoolExecutor(max_workers=500) as ex:
for code in ex.map(fetch, urls):
pass # 1,000 threads, single-digit ms latencyDatacenter, demystified.
Honest about where datacenter wins and where it doesn't. No upselling. wrong tool for the job costs everyone.