
Meet Sed: Sedai's New AI Assistant Brings Conversation (and Action) to Cloud Optimization
Introducing Sed and Sedai's MCP integration: ask questions, take action, and extend it into your own agents.
A single GPU can waste $70k per year. The problem is measuring the nvidia-smi utilization metric wrong. Here's how Sedai rebuilt the GPU utilization measurement from the hardware up to actually fix it.
We analyzed and ranked the best tools for managing cloud costs. Start tracking and reducing spending across your cloud stack.
Your guide to tracking, controlling, and optimizing the cost of artificial intelligence
Building your own cloud optimization tool can seem like a good idea at first. Here's where the real costs hide, and when buying makes more sense.
Karpenter is the better way to provision EKS nodes, but migrating safely is hard. Sedai's new Migration Assistant automates the cutover, with a pre-flight compatibility check and automatic rollback if anything goes wrong.
Compare ECS and EC2 by cost, scaling, control and complexity. Practical rules of thumb to pick the right AWS compute model for your workload.
Onboard AWS, Kubernetes, Azure, and GCP resources into Sedai using Terraform. No UI required — just infrastructure as code.
Sedai is introducing Pod Interceptor and Smart Scheduler — two changes to how Sedai executes and schedules on Kubernetes, so the optimization you've already identified actually lands, without fighting your GitOps pipeline or waiting on a manual consolidation step.
AI agents ship overcomplicated code and argue when asked to simplify it. Three Sedai engineering leaders on how they review, budget, and cut it down.