//Cold Starts
Autoscaling AI Agent Infrastructure: Handling Bursty Workloads and Cold Starts
Tags : Agent InfrastructureAI Agent AutoscalingAI Agent HostingBursty WorkloadsCapacity PlanningCold StartsEvent-Driven AutoscalingGPU ScalingHorizontal Pod AutoscalerInference ScalingKEDAKubernetes AutoscalingQueue-Based Load LevelingScale to ZeroWarm Pools
Web traffic rises and falls with the day, but it moves in waves an autoscaler can ride. Agent traffic does not. A research agent can sit idle for an hour and then receive forty requests in a single minute, each one spawning a dozen model calls, several tool executions, and a sub-agent fan-out. Infrastructure sized..
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Serverless vs. GPU-Dedicated Hosting: Choosing Infrastructure for AI Agents
Tags : AI Agent HostingAI DeploymentAI InfrastructureCloud GPUsCold StartsContainer HostingDedicated HostingFinOps for AIGPU InfrastructureInference HostingModalPer-Second BillingRailwayScale to ZeroServerless GPU
The infrastructure you run an AI agent on shapes everything downstream: latency, cost, and how far it scales before it breaks. Two hosting models now dominate the conversation. Serverless GPU platforms spin capacity up and down on demand, billing you by the second and charging nothing when idle. GPU-dedicated and always-on platforms, by contrast, keep.. Read more
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