Server-side anti-cheat changes the hardware profile of a game server the way a database changes a web server: it adds a persistent, always-on workload that competes for the same CPU, memory bandwidth and disk I\/O as your game simulation. Adding an anti-cheat agent is not a software checkbox \u2014 it is a capacity decision. This guide quantifies what server-side anti-cheat actually costs in CPU, RAM, network and storage, and how to size a dedicated box so the anti-cheat layer does not consume the tick budget your players feel.<\/p>\n\n\n\n
Client-side anti-cheat (kernel drivers) lives on player machines. Server-side anti-cheat lives on your node and comes in four flavours, each with a different hardware signature:<\/p>\n\n\n\n
Authoritative validation is the most expensive model because it duplicates work. When the server re-runs movement physics for every player to compare against client-reported positions, you roughly add 10\u201330% to the per-tick CPU load depending on game genre. For a competitive FPS at 128 tick, that is the difference between a 5.0 GHz single-thread headroom budget and running at the thermal ceiling.<\/p>\n\n\n\n Detection engines that build per-player baselines keep those models resident. Budget 20\u201340 MB per tracked player at moderate history depth, and far more if you retain full movement traces. A 64-player server running statistical detection can quietly consume 2\u20133 GB above the game process, and that memory need not be released when players disconnect if the model is retained for retroactive bans. Size RAM for peak concurrent plus retained history, not peak concurrent alone.<\/p>\n\n\n\n Anti-cheat telemetry is write-heavy. Full movement trace logging for a 100-player server at 128 tick can generate tens of gigabytes per day, and every fsync competes with world saves for the same NVMe device. Two consequences follow: put telemetry on a separate physical device or a dedicated partition with its own queue, and pick NVMe with high TBW endurance rather than cheap consumer drives that throttle under sustained writes. SSD wear from anti-cheat logging is real \u2014 the drives that fail early in competitive hosting are usually the telemetry drives, not the world-save drives.<\/p>\n\n\n\n Agent-based integrity checks and server-side hit validation both round-trip extra data between client and server. On a 100-player shooter, server-side validation that requires an extra acknowledgement per shot adds measurable latency for players on marginal connections, and the anti-cheat backend’s own telemetry upload competes with game traffic on the same uplink. Provision at least 30% more uplink than the game alone requires, and keep a dedicated NIC or VLAN for the anti-cheat backend if it ships logs to an external service. Retransmits caused by a saturated uplink look exactly like cheating players teleporting \u2014 the two are worth separating with packet capture before you blame either.<\/p>\n\n\n\n You cannot size for an added workload without a baseline. Before deploying anti-cheat, capture per-tick CPU time, peak RSS and disk write throughput at your target player count. Then deploy the agent and re-measure the same metrics under identical load. The delta is your true overhead \u2014 vendor figures are averages across many game types and rarely match your specific tick rate and player count. If post-deploy MSPT rises more than 15% at peak, either the agent is mis-tuned or the node lacked headroom to begin with.<\/p>\n\n\n\nAnti-Cheat Model<\/th> CPU Overhead<\/th> RAM Overhead<\/th> Scales With<\/th> Latency Sensitivity<\/th><\/tr><\/thead> Authoritative validation<\/td> +10\u201330%<\/td> +5\u201315%<\/td> Player count<\/td> High<\/td><\/tr> Statistical anomaly<\/td> +5\u201315%<\/td> +20\u201340%<\/td> History depth<\/td> Low<\/td><\/tr> Telemetry correlation<\/td> +3\u20138%<\/td> +10\u201325%<\/td> Event rate<\/td> Low<\/td><\/tr> Agent integrity checks<\/td> +5\u201310%<\/td> +5\u201310%<\/td> Connected clients<\/td> High<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n RAM: The Hidden Growth Curve<\/h2>\n\n\n\n
Storage and I\/O: The Write Amplification Problem<\/h2>\n\n\n\n
Network Cost: Latency Is Part of the Anti-Cheat Budget<\/h2>\n\n\n\n
Baseline First: Measure Without Anti-Cheat<\/h2>\n\n\n\n
Sizing Table: Game Servers With Server-Side Anti-Cheat<\/h2>\n\n\n\n
Server<\/th> Players<\/th> Game CPU<\/th> Anti-Cheat CPU<\/th> Total RAM<\/th> Telemetry Disk<\/th><\/tr><\/thead> Competitive FPS, 64 tick<\/td> 32<\/td> 4 cores @ 4.5 GHz<\/td> +1 core<\/td> 16 GB<\/td> NVMe, 1 TB<\/td><\/tr> Competitive FPS, 128 tick<\/td> 64<\/td> 6 cores @ 5.0 GHz<\/td> +2 cores<\/td> 32 GB<\/td> NVMe, 2 TB<\/td><\/tr> Battle royale \/ shooter<\/td> 100<\/td> 8 cores @ 5.0 GHz<\/td> +3 cores<\/td> 48 GB<\/td> NVMe, 2 TB + archive<\/td><\/tr> MMO \/ persistent world<\/td> 500+<\/td> Multi-node<\/td> +1 node dedicated<\/td> 128 GB+<\/td> Separate log cluster<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Buying for Anti-Cheat Headroom<\/h2>\n\n\n\n