Everything your AI needs, in one place.

castai-local-dev-loop

Set up a local Kubernetes development loop with CAST AI cost monitoring. Use when building cost-aware deployments, testing autoscaler policies, or iterating on Terraform CAST AI configurations locally

castai-performance-tuning

Optimize CAST AI autoscaler performance, node provisioning speed, and API efficiency. Use when nodes take too long to provision, autoscaler is not reacting fast enough, or optimizing API call patterns

castai-prod-checklist

Production readiness checklist for CAST AI cluster onboarding. Use when going live with CAST AI autoscaling, validating Phase 2 setup, or preparing for production cost optimization. Trigger with phras

castai-rate-limits

Handle CAST AI API rate limits with backoff and request queuing. Use when hitting 429 errors, optimizing API call patterns, or implementing rate-aware batch operations. Trigger with phrases like "cast

castai-sdk-patterns

Production-ready CAST AI REST API wrapper patterns in TypeScript and Python. Use when building reusable CAST AI clients, implementing retry logic, or wrapping the CAST AI API for team use. Trigger wit

castai-security-basics

Secure CAST AI API keys, RBAC configuration, and Kvisor security agent. Use when hardening CAST AI cluster access, configuring security scanning, or implementing API key rotation procedures. Trigger w

castai-upgrade-migration

Upgrade CAST AI Helm charts, Terraform provider, and agent components. Use when upgrading CAST AI versions, checking for breaking changes, or migrating between CAST AI agent releases. Trigger with phr

castai-webhooks-events

Configure CAST AI webhook notifications for cluster events and audit logs. Use when setting up alerts for node scaling, cost threshold events, or integrating CAST AI events with Slack, PagerDuty, or c

coreweave-ci-integration

Integrate CoreWeave deployments into CI/CD pipelines with GitHub Actions. Use when automating container builds, deploying inference services from CI, or validating GPU manifests in pull requests. Trig

coreweave-common-errors

Diagnose and fix CoreWeave GPU scheduling, pod, and networking errors. Use when pods are stuck Pending, GPUs are not allocated, or experiencing CUDA and NCCL errors. Trigger with phrases like "corewea

coreweave-core-workflow-a

Deploy KServe InferenceService on CoreWeave with autoscaling and GPU scheduling. Use when serving ML models with KServe, configuring scale-to-zero, or deploying production inference endpoints on CoreW

coreweave-core-workflow-b

Run distributed GPU training jobs on CoreWeave with multi-node PyTorch. Use when training models across multiple GPUs, setting up distributed training, or running fine-tuning jobs on CoreWeave H100 cl

coreweave-cost-tuning

Optimize CoreWeave GPU cloud costs with right-sizing and scheduling. Use when reducing GPU spend, selecting cost-effective instances, or implementing scale-to-zero for dev workloads. Trigger with phra

coreweave-data-handling

Handle training data and model artifacts on CoreWeave persistent storage. Use when managing large datasets, configuring storage classes, or implementing data pipelines for GPU workloads. Trigger with

coreweave-debug-bundle

Collect CoreWeave cluster diagnostics for support tickets. Use when preparing a support case, collecting GPU node status, or documenting pod failures. Trigger with phrases like "coreweave debug", "cor

coreweave-deploy-integration

Deploy inference services on CoreWeave with Helm charts and Kustomize. Use when deploying multi-model inference, managing GPU deployments at scale, or templating CoreWeave manifests. Trigger with phra

coreweave-enterprise-rbac

Configure RBAC and namespace isolation for CoreWeave multi-team GPU access. Use when managing team permissions, isolating GPU quotas, or implementing namespace-level access control. Trigger with phras

coreweave-hello-world

Deploy a GPU workload on CoreWeave with kubectl. Use when running your first GPU job, testing inference, or verifying CoreWeave cluster access. Trigger with phrases like "coreweave hello world", "core

coreweave-incident-runbook

Incident response runbook for CoreWeave GPU workload failures. Use when inference services are down, GPUs are unavailable, or responding to production incidents on CoreWeave. Trigger with phrases like

coreweave-install-auth

Configure CoreWeave Kubernetes Service (CKS) access with kubeconfig and API tokens. Use when setting up kubectl access to CoreWeave, configuring CKS clusters, or authenticating with CoreWeave cloud se

coreweave-local-dev-loop

Set up local development workflow for CoreWeave GPU deployments. Use when building containers locally, testing YAML manifests, or iterating on model serving configurations before deploying. Trigger wi

coreweave-multi-env-setup

Configure CoreWeave across development, staging, and production environments. Use when setting up multi-environment GPU infrastructure, separating namespaces, or managing per-environment GPU quotas. T

coreweave-observability

Set up GPU monitoring and observability for CoreWeave workloads. Use when implementing GPU metrics dashboards, configuring alerts, or tracking inference latency and throughput. Trigger with phrases li

coreweave-performance-tuning

Optimize CoreWeave GPU inference latency and throughput. Use when reducing inference latency, maximizing GPU utilization, or tuning batch sizes and concurrency. Trigger with phrases like "coreweave pe