
Tokenmaxxing Is Ending. The Era of AI Tokenomics Has Begun
Token consumption was never the right metric. Here's why enterprise AI budgets are exploding and what to measure instead.
Sedai now optimizes AI agents!
Read the newsDiscover 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.
Explore the top Kubernetes management tools for 2026, with clear breakdowns of what each tool does and how they support large-scale cluster operations.
Learn how to align cluster capacity with workload demands: autoscaling, resource metrics, right-sizing and advanced AI platforms like Sedai.
Cut GKE costs in 2026 with 6 best practices: rightsizing, autoscaling (HPA/VPA/CA/KEDA), CUDs, Spot VMs, and Autopilot vs Standard mode.
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.
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.
A deep technical guide to how GKE Autopilot works, where it fits, cost trade-offs, limitations, and when to choose Autopilot vs Standard clusters.
This week, the trend is impossible to ignore: LLM costs are out of control. Our engineering leadership team reacts.
Master AWS FinOps with top tools! Leverage Cost Explorer, executive dashboards, AI-enhanced insights, and optimize expenses. Buy now!