# Platform9

Sedai extends Platform9's managed Kubernetes simplicity to optimization — autonomously right-sizing workloads without adding operational overhead.

## Managed Kubernetes Simplicity, Extended to Optimization

Platform9 delivers managed Kubernetes without a dedicated platform team. Sedai extends that same simplicity to optimization — autonomously right-sizing workloads without adding operational overhead.

## On-Prem Kubernetes Wasn't Built to Tune Itself

Rightsizing self-managed clusters still relies on static estimates and manual effort — with no cloud elasticity to absorb the guesswork.

### Static Sizing Wastes Capacity

Workloads run on worst-case CPU and memory requests that are set once and rarely revisited.

### Manual Tuning Doesn't Scale

Rightsizing by hand is slow, guesswork-driven, and risky at the pace modern clusters change.

### Toolchains Don't Optimize Themselves

HPA and GitOps controllers execute configs but can't tune themselves for cost or performance.

## How We Help

### Autonomous Workload Optimization

Sedai continuously analyzes utilization and performance to safely adjust pod and container resource allocations — using reinforcement learning to move workloads toward their optimal state.

### GPU Optimization

For AI, ML, and HPC workloads, Sedai identifies idle GPU capacity and right-sizes allocations to match real demand, cutting a major cost driver.

### Works With Your Existing Toolchain

Sedai doesn't replace HPA or your GitOps controller — it refines their configurations continuously, connecting via a lightweight agent or GitOps integration to fit your security needs.

## Optimize On-Prem Kubernetes Like It's Cloud-Native.

## Frequently Asked Questions

### Does Sedai replace our HPA or GitOps controller?

No. Sedai integrates with your existing HPA and GitOps tooling (like ArgoCD or Flux) and continuously refines their configurations based on real workload behavior — it doesn't replace your operational stack.

### How does Sedai connect to a self-managed or air-gapped cluster?

You can deploy a lightweight in-cluster agent or use a GitOps integration, where Sedai generates configuration files for your GitOps controller to apply — no direct external access required.

### What level of control do we have over changes Sedai makes?

Sedai supports three modes: Datapilot for read-only recommendations, Copilot for human-approved changes, and Autopilot for full autonomous execution — so you choose how much control to hand over, per environment.

### Can Sedai be deployed fully within our own environment, including air-gapped?

Yes. Sedai's self-hosted model deploys the entire platform inside your own Kubernetes cluster — public cloud, private cloud, or on-prem — so no data ever leaves your network, and it can run fully air-gapped. Capabilities are identical to the SaaS model; your team manages infrastructure and applies updates that Sedai packages for you.

### Does Sedai support FedRAMP-regulated environments?

Yes. While Sedai's SaaS offering is not FedRAMP certified, the self-hosted model can be deployed entirely within your own FedRAMP-certified environment, with full optimization capabilities and no data leaving your network.