How Soax Slashes AI/ML Data Latency With Upgraded Proxies

In the fast-paced world of artificial intelligence (AI) and machine learning (ML), every second counts. Latency—the delay between sending a request and receiving a response—can bottleneck your data collection, slow down insights, and frustrate your workflows.

Soax, a leading proxy service, has rolled out infrastructure upgrades that cut latency by up to 64% for North American users, promising faster, more reliable data for AI and ML projects.

In this post, we’ll explore what these upgrades mean, why latency matters, and how you can leverage them

Soax’s Infrastructure Upgrades: The Details

Soax has beefed up its North American network by placing proxy servers closer to users and target sites, reducing travel time for data. They claim a 64% latency reduction, measured by Time to First Byte (TTFB)—the time from sending a request to receiving the first data chunk.

Benefits of Lower Latency for AI and ML

Reducing latency isn’t just about speed—it’s about unlocking efficiency and precision. Here’s what you gain:

Stat Spotlight: Google research shows a 100ms delay cuts user satisfaction by 10%—in AI workflows, that’s a ripple effect on performance .

Real User Feedback: Does It Deliver?

Soax’s claims are bold, but what’s the word on the street? We dug into 2024–2025 reviews:

Performance Snapshot:

Proxy Type	Success Rate	Avg. Response Time	User Feedback
Residential	99.7%	0.66s	“Fast, reliable”
ISP/Datacenter	99.99%	0.56s	“Top-tier speed”
Mobile	99.5%	0.60s	“Solid but varies”

How to Pick a Proxy Service?

Soax isn’t your only option. Here’s how to choose wisely:

Quick Comparison:

Proxy Provider	Avg. Latency	Strengths	Best For
Soax	0.56–0.66s	North America focus	Mid-scale scraping
Oxylabs	0.40–0.50s	Speed leader	High-speed tasks
Bright Data	0.60–0.70s	Massive pool	Large-scale projects

Experience faster, more reliable data collection with Soax’s upgraded infrastructure. Whether you’re training AI models or chasing real-time insights, Soax can help.

Strategies to Minimize Latency

Beyond Soax, here are universal tips to keep latency low:

Why Latency Shapes AI Success

A 2024 Stanford study found low-latency pipelines improve ML accuracy by 8% in dynamic datasets . Fresher data catches trends faster—crucial for real-time applications like price monitoring or social media analysis.

Conclusion: Time to Act

Soax’s infrastructure upgrades deliver a compelling edge: up to 64% lower latency, faster data collection, and better AI/ML outcomes. Pair it with smart optimization, and you’re set to save time and boost results. Ready to see the difference?

Source: Soax Blog