Brand Intelligence Graph
Company Overview
About Cast AI
Cast AI is a Kubernetes cloud cost optimization platform founded to help engineering teams dramatically reduce their cloud infrastructure spending without manual intervention. The company was built on the observation that most Kubernetes clusters are significantly over-provisioned — teams allocate far more compute than workloads actually consume because manual right-sizing is time-consuming and risky. Cast AI's platform uses AI-driven automation to continuously analyze workload resource consumption, identify over-provisioned nodes, and automatically rightsize and rebalance clusters in real time across AWS, Google Cloud, and Azure.
Business Model & Competitive Advantage
Cast AI's core product sits between the cloud provider and the Kubernetes cluster, acting as an autonomous cost optimization layer that adjusts compute allocation dynamically based on actual usage patterns. The platform handles spot instance management, node autoscaling, pod bin-packing, and workload scheduling optimizations — capabilities that typically require dedicated platform engineering teams to implement manually. Cast AI provides a single-pane dashboard showing real-time savings, cost trends, and optimization recommendations across multi-cloud Kubernetes environments.
Competitive Landscape 2025–2026
Cast AI raised a $108M Series C in April 2025 and achieved unicorn status at a $1B+ valuation in January 2026, reflecting strong product-market fit in the cloud cost management space. The company serves 2,100+ customers and has documented billions of dollars in cumulative cloud savings across its user base. Cast AI competes with Spot by NetApp, StormForge, and cloud-native autoscaling tools, differentiating through the depth of its autonomous optimization — going beyond simple recommendations to fully automated, continuous rightsizing.
Recent Activity
View all →Learn how the Kubernetes Horizontal Pod Autoscaler (HPA) automatically scales workloads based on resource and custom metrics. This guide covers HPA configuration, scaling behavior, HPA vs. VPA, KEDA integration, and best practices for improving performance while reducing infrastructure costs. The post What Is Kubernetes HPA and How Can It Help You Save on the Cloud? appeared first on Cast AI .
Learn how Kubernetes rightsizing reduces wasted CPU, memory, and GPU resources without impacting application performance. This guide explains a proven five-step rightsizing workflow, in-place pod resizing, and strategies that can cut compute costs by 40–70% while improving resource utilization. The post Kubernetes Rightsizing: A Practical Workflow for CPU and Memory Optimization appeared first on Cast AI .
Learn what causes Kubernetes ImagePullBackOff and ErrImagePull, how to diagnose image pull failures with kubectl describe pod, and the fastest fixes for common issues like invalid image names, registry authentication, expired credentials, and image pull policy misconfigurations. The post Kubernetes ImagePullBackOff and ErrImagePull: Causes and Fixes appeared first on Cast AI .
Learn how to set up OpenCost for Kubernetes to monitor and allocate infrastructure costs by namespace, workload, and labels. This guide covers installation, supported integrations, key capabilities, limitations, and how OpenCost fits into a Kubernetes FinOps strategy. The post OpenCost for Kubernetes: How to Set Up Open-Source Cost Monitoring appeared first on Cast AI .
Kubernetes cost management combines cost visibility, allocation, governance, and continuous review to control cluster spend. Learn the FinOps practices that help engineering and finance reduce waste, improve accountability, and sustain Kubernetes cost optimization over time. The post Kubernetes Cost Management: Visibility, Allocation, and Control appeared first on Cast AI .
Learn how to optimize Kubernetes GPU utilization with proven strategies for MIG, time-slicing, and Dynamic Resource Allocation. This guide explains how to eliminate GPU waste, improve scheduling efficiency, and reduce GPU costs by up to 90% without sacrificing workload performance. The post Kubernetes GPU Optimization: How to Cut GPU Waste Without Slowing Workloads appeared first on Cast AI .
A practical, engineering-led guide to cutting Kubernetes waste across pods, nodes, autoscaling, and governance. Backed by 2026 data on 8% CPU use. The post Kubernetes Cost Optimization: How to Reduce Cluster Waste Without Hurting Reliability appeared first on Cast AI .
Kubernetes cost allocation maps cluster spend to teams, namespaces, and workloads using labels and a cost model. Learn how to build accurate cost attribution, implement showback or chargeback, and create the visibility needed for effective FinOps and Kubernetes cost optimization. The post Kubernetes Cost Allocation: How to Break Down Spend by Team, Namespace, and Workload appeared first on Cast AI .
Karpenter vs Cluster Autoscaler compared on provisioning, consolidation, bin packing, and cost. A clear recommendation with the trade-offs spelled out. The post Karpenter vs Cluster Autoscaler: Which to Use in 2026 appeared first on Cast AI .
GPU optimization tools help teams measure, allocate, share, and automate GPU resources in Kubernetes to reduce cloud costs and improve utilization. This guide compares the leading tools and explains which use cases each one solves best. The post Best GPU Optimization Tools for Kubernetes and AI Workloads (2026) appeared first on Cast AI .
Learn how to deploy Karpenter on Amazon EKS with the latest v1 API and optimize Kubernetes node auto-scaling for 2026. This guide covers installation, IAM setup, Spot interruption handling, disruption budgets, and production best practices—plus explains why Karpenter alone doesn’t solve pod-level resource optimization and how to close that gap. The post Deploy Karpenter on EKS: Node Auto-Scaling Guide (2026) appeared first on Cast AI .
Discover the best Kubernetes cost optimization and management tools for reducing cloud spend. Compare visibility platforms, autonomous optimization solutions, and proven strategies to eliminate waste across clusters, nodes, and workloads. The post Top 8 Kubernetes Cost Optimization & Management Tools in 2026: The Honest Comparison appeared first on Cast AI .
Key Differentiators
Emerging Innovator
Cast AI is an emerging player bringing innovative solutions to the Cloud & Infrastructure market.
Frequently Asked Questions
Estimated Visibility Trend (Beta)
Simulated 8-week rolling score
Based on estimated brand signals. Historical tracking coming soon.
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