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Is The Era of Cheap AI Over?
This week, the trend is impossible to ignore: LLM costs are out of control. Our engineering leadership team reacts.
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AWS GPU Instances: Best Practices and Tips
Explore best practices for AWS GPU instances. Learn how to optimize performance and reduce costs with Sedai’s AI.
Mastering AWS EFS: A Complete Guide
Learn how Amazon EFS simplifies scalable, shared storage for your AWS workloads. Compare EFS vs EBS and optimize performance and cost.
Autonomous Optimization for Kubernetes Applications and Clusters
Discover how autonomous optimization can revolutionize Kubernetes management, enhancing performance, reducing costs, and simplifying complexity. Learn best practices for resource allocation, autoscaling, and machine learning integration to keep your Kubernetes environment efficient and resilient.
Top 27 Kubernetes Management Tools for 2026
Explore the top Kubernetes management tools for 2026, with clear breakdowns of what each tool does and how they support large-scale cluster operations.
Kubernetes Cost & Resource Optimization Guide 2026
Learn how to align cluster capacity with workload demands: autoscaling, resource metrics, right-sizing and advanced AI platforms like Sedai.
6 GKE Cost Optimization Best Practices for 2026
Cut GKE costs in 2026 with 6 best practices: rightsizing, autoscaling (HPA/VPA/CA/KEDA), CUDs, Spot VMs, and Autopilot vs Standard mode.
How We Solved the GPU Optimization Problem for Kubernetes
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.
The Ultimate Guide to GPU Scaling With Karpenter
GPU compute is no longer something you just throw money at. As AI workloads hit production at scale, Karpenter has become the precision tool EKS teams need, but only if you're configuring it right. Here are the five mistakes to stop making and eight practices worth adopting.
GKE Autopilot vs. Standard: What You Gain and What You Give Up
A deep technical guide to how GKE Autopilot works, where it fits, cost trade-offs, limitations, and when to choose Autopilot vs Standard clusters.