CloudThinker vs GreenNode
GreenNode (by VNG) provides AI cloud infrastructure — bare-metal NVIDIA H100 GPUs, model hosting, and an ML platform for training and deploying AI in Southeast Asia. CloudThinker sits a layer above: an AgenticOps platform and managed service that operates your production cloud — investigating incidents, executing runbooks, optimizing cost, and reviewing code, with expert engineers on the loop.
They solve different problems. GreenNode gives you the compute to build and run AI models; CloudThinker gives you the agents and the service to keep your cloud healthy — and it runs on any infrastructure, including GreenNode's.
Capability Comparison
Partial = limited or out of primary focus. GreenNode and CloudThinker operate at different layers of the stack — infrastructure vs. operations — and can be used together.
Infrastructure runs your models. CloudThinker runs your operations.
GreenNode gives you GPUs and a place to host models. CloudThinker gives you the agents that keep production healthy — the Incident Response Agent investigates root cause, executes remediation runbooks, and resolves incidents, so your cloud doesn't just have capacity, it has an operator.
CloudThinker is infrastructure-agnostic — AWS, Azure, GCP, or a regional provider like GreenNode. It connects your clouds, Kubernetes clusters, GitHub PRs via AI Code Review, and incident tools into one AI-driven operations layer, wherever your workloads run.
With the 24/7 Managed Service, expert SREs stay on the loop while agents do the operational toil — approving high-impact actions and owning escalations. You get SLA-backed outcomes, not just servers you have to operate yourself.
Keep GreenNode for the GPUs and model hosting. Add CloudThinker on top to keep your cloud healthy — autonomous operations with engineers on the loop.