Serverless compute for AI — run Python functions on GPUs with one decorator, no infra to manage.
Run open-source AI models via API — thousands of image, video, and audio models with one HTTP call.
Ultra-low-latency LLM inference on custom LPU chips — the fastest way to serve open-weights models.
Open-source tool that scans Kubernetes clusters and uses LLMs to explain failures in plain English.
Declarative GitOps continuous delivery for Kubernetes — Git is the source of truth, clusters converge automatically.
CNCF GitOps toolkit for Kubernetes — a set of controllers that keep clusters in sync with Git repositories.
Infrastructure-as-code CI/CD platform — policy-driven workflows for Terraform, OpenTofu, Pulumi, and Kubernetes.
Remote state and operations platform for Terraform and OpenTofu with a hierarchical environment model.
Not sure which alternative fits?
Describe your situation. The advisor reads your goals, constraints, and existing stack — then names 3 of the above with honest tradeoffs.
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