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The ultimate hosting guide for leaders in adtech

The ultimate hosting guide for leaders in adtech

Real-time advertising runs on tiny margins of time. A few milliseconds gained or lost in the bid path can influence win rates, fill, and ultimately revenue. Yet many platforms still evaluate their infrastructure through high-level metrics of uptime percentages and monthly cloud spend. Those numbers tell part of the story, but by no means all.

The reality is that infrastructure behavior plays a crucial role towards your overall success. Performance inefficiencies quietly alter auction dynamics and platform economics, and in highly competitive markets, those small shifts accumulate into big impacts fast.

Here are six practical infrastructure tips that consistently show up in successful adtech stacks, and why they matter when choosing the right provider.

1. Engineer for consistency, not just capacity

Many platforms focus heavily on scaling capacity. This isn’t necessarily wrong - especially when the difference between winning or losing a bid can be as little as 100 ms - but predictable behavior under load matters just as much. Small shifts in latency, CPU contention, or resource availability because of inconsistency can quietly reduce win rates without triggering obvious alerts. As a result, lost revenue can appear as normal operational circumstance, rather than a fixable infrastructure issue.

Consistency starts with access to stable compute and network resources. When infrastructure behavior remains predictable, bids are processed and returned within expected timeframes, allowing teams to tune bidding strategies with confidence. Performance optimization becomes measurable because outcomes are not distorted by environmental variability.

It’s one reason adtech platforms use servers.com’s Enterprise Bare Metal (EBM), which provides the control and performance needed to execute latency-sensitive bidding workloads with precision, while shaping hardware and network configurations around sustained auction traffic and real-world demand.

Because consistency starts with access to stable compute and network resources, EBM makes it easier to understand how workloads behave under pressure, and maintain reliable latency during peak traffic periods.

In real-time advertising, consistent infrastructure creates the foundation for optimization, enabling you to focus on improving auction outcomes rather than compensating for unpredictable behavior. Rishi Agarwal, Founder and CEO of GeoSpot Media, explains the impact of dedicated bare metal, combined with a team of experts:

“With servers.com, we’re able to maintain 99.99% uptime, which has helped boost publisher retention by around 20%, and we can handle double the previous QPS without latency issues. That stability has been transformative for our business and our partners.”

2. Isolate revenue-critical workloads from everything else

When revenue-critical workloads compete for shared infrastructure resources, performance becomes harder to control. Resource contention can introduce variability into latency-sensitive services, especially during high-load periods. In a real-time bidding environment, that variability quietly erodes win rates and margin.

This is a common challenge for platforms running workloads across hyperscale cloud, where finite resources are shared and vendors can overprovision, leaving your bidder, auction logic, and real-time data services exposed to unpredictable behavior.

But not every workload in your stack carries the same business weight. Supporting jobs like analytics and reporting pipelines are important, but they don't sit inside the auction path, and they shouldn't be allowed to compete with the systems that do.

Clearly isolating these workloads protects your most important systems. With EBM, you can run your full stack while ensuring your revenue critical services have guaranteed access to compute, memory, and network resources.

This isolation gives clearer visibility into performance behavior and forecasting. EBM gives you the control to treat your bidding infrastructure as the revenue engine it is, not just another workload in a shared environment. And when your revenue critical workloads need to scale in an instance, servers.com’s Scalable Bare Metal (SBM) delivers on-demand compute capacity while preserving consistent performance and full resource isolation, without the drawbacks of resource contention that hyperscale cloud suffers from.

3. Engineer for demand spikes before they happen

Adtech traffic patterns are inherently volatile. You may already be running a high sustained load, but campaign launches, seasonal peaks, or unexpected shifts in demand can increase request volume even more.

SBM is designed specifically to handle these moments. It allows additional capacity to be provisioned within minutes, using pre-configured bare metal flavors for clear pricing and predictable performance. Capacity expands in a controlled way, supporting higher volumes without introducing uncertainty.

This works in partnership with EBM, which provides a high-performing, steady baseline engineered around your sustained workload. servers.com’s EBM infrastructure eliminates resource contention and virtualization overhead, enabling your bidder to run on deterministic hardware with consistent execution timing. SBM then extends that environment during peak events, reinforcing capacity while preserving the performance profile you rely on.

When you engineer for demand spikes in advance, your bidder continues to behave predictably as traffic grows. You avoid performance variance during scaling events and maintain confidence in auction timing. Prepared capacity supports smoother growth and reduces operational stress during peak periods.

4. Make network proximity a core infrastructure decision

Every additional hop between your infrastructure and an exchange reduces the margin you have to respond to a request. In real-time bidding, network performance directly influences this.

If your servers are located far from demand partners, or if routing paths are inefficient, latency increases before your application code even executes. That delay reduces the probability of successful bid responses.

Placing your infrastructure close to exchanges and major traffic hubs reduces transit time and improves response consistency. With 26 data centers worldwide, servers.com’s bare metal deployments are strategically located to allow you to control where your workloads sit physically, rather than abstracting location behind virtual layers.

GeoSpot Media needed just that, requiring global footprint with multiple data centres capable of sustaining high traffic volumes across the US, APAC, and EU. By leveraging servers.com’s low-latency global network, they now operate an architecture built for real-time bidding at sub-100ms speeds, with the ability to expand capacity quickly when demand increases.

When you treat network location as an architectural priority, you protect the time budget your bidder relies on. Our bare metal environments allow you to align compute placement and network design with your actual traffic flows.

5. Understand the true cost of every bid

Your monthly infrastructure bill tells you what you spent. It doesn’t tell you how infrastructure affects margin at the transaction level.

When performance is inconsistent or costs fluctuate unpredictably, modelling those cost economics becomes difficult. EBM simplifies this by providing fixed resource allocation and transparent pricing structures, so you know exactly what hardware you are running and what it costs. Because hardware is configured to your requirements and priced transparently, you can map infrastructure directly to delivery volumes with confidence.

And when demand surges, SBM extends that model. Burst capacity can be deployed in minutes using standardized hardware flavors with clear, hourly pricing. You know in advance what additional capacity will cost and how it will perform. Instead of facing opaque consumption charges, there is no ambiguity around shared resources or fluctuating instance pricing as you would get with hyperscale cloud. This makes forecasting more reliable as auction traffic grows.

Because predictable infrastructure makes forecasting more accurate, you can optimize hardware configurations around real demand, instead of wasted precautionary padding. When you know the true cost of every bid, infrastructure gives you control over margin improvement – you’re not left at the mercy of unwanted surprises.

6. Ensure your infrastructure is AI-ready

AI is no longer experimental in adtech. It’s mainstream and platforms rely on AI across functionalities, from analytics and real-time bidding to campaign optimization. Gartner predicts that AI-optimized infrastructure will surge to $37.5 billion in 2026, up from $18.3 billion in 2025.

Yet many adtech platforms are running AI workloads on infrastructure that wasn’t designed for them. When GPU resources are virtualized and shared on public cloud, performance becomes inconsistent. And in a stack where AI is directly influencing bidding decisions, that inconsistency has real revenue implications.

This is where servers.com’s AI Compute (AIC) comes in. Like EBM, AIC provides sole tenancy over physical servers, but adds GPU configurations purpose-built for compute-heavy AI workloads, including high-throughput training pipelines, large language model training, and real-time inference at scale.

AIC architectures are tailored to specific machine learning use cases, with optimized CPU, memory, and storage configurations that support all major frameworks, including PyTorch and TensorFlow. And because AIC operates on the same bare metal foundation as EBM and SBM, it integrates naturally into a hybrid infrastructure model – CPU workloads on EBM, burst capacity on SBM, and GPU-intensive AI on AIC, all running across a single private network.

As AI becomes more deeply embedded in how adtech platforms optimize bids, target audiences, and manage campaign performance, the infrastructure running those models needs to behave with the same consistency and predictability as the rest of your stack. AIC ensures it does - backed by the same engineering expertise that underpins every servers.com environment.

Make infrastructure a strategic growth layer

Real-time advertising rewards platforms that understand the connection between infrastructure and revenue outcomes. Milliseconds influence win rates. Stability influences partner trust. Cost structure influences margin. Your foundations shape all three.

Dedicated bare metal provides the control required for performance-critical adtech systems. Single-tenant hardware, transparent resource allocation, and physical location choice enable platforms to align infrastructure design directly with traffic patterns and exchange relationships. As demand grows, scalable bare metal capacity supports expansion while maintaining operational continuity.

And yet the best hardware only delivers on its potential when backed by people who understand how to run it under real auction pressure. When there’s a technical hiccup, the technical depth of your provider shapes the outcome. That means immediate access to engineers who understand high-throughput systems and the operational realities of real-time bidding - not ticket escalations or generic troubleshooting.

At servers.com, every support interaction is handled by experienced engineers from the first touchpoint, with a guaranteed response within 15 minutes. As Mike Halchevsky, Chief Product Officer at GoNET puts it:

“In servers.com, we have found a partner that delivers exceptional customer service and responsiveness, consistently exceeding our expectations with their rapid reaction times.”

That combination - performant infrastructure and a support model built around it - is what turns your stack into a genuine growth lever rather than a cost to manage. If you’re assessing how your current setup impacts win rates, margin, or growth plans, our team can help you design an architecture aligned with your objectives.

Author: Nathan Jollands

Nathan Jollands, Content Writer

Nathan studied Creative Writing at Bath Spa University, including a six-month Erasmus scheme at Stockholm University in 2020. Outside of work, Nathan is both a film buff and car enthusiast.

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