Compare real-time GPU prices across 11 providers and provision the cheapest option.
npx skills add https://github.com/theoddden/Terradev --skill terradev-gpu-cloud
Please help me install this Agent Skill. Skill: terradev-gpu-cloud Source: https://github.com/theoddden/Terradev/tree/main Command: npx skills add https://github.com/theoddden/Terradev --skill terradev-gpu-cloud
Cross-cloud GPU provisioning, pricing, and cluster orchestration to minimize cost and maximize agility for ML workloads, enabling users to quickly identify and spin up GPUs across providers while keeping credentials on their own machine.
Configure providers, view prices with terradev quote, and provision the cheapest GPUs with terradev provision.
High-intent search queries and answers about installing and using this skill.
To find the cheapest real-time GPU prices, you query 11 cloud providers simultaneously to compare current rates. The tool automatically identifies the lowest cost option for your ML training or inference workload.
Yes, you can provision Kubernetes clusters and burst capacity across different clouds. It supports parallel provisioning to handle peak workloads, enabling rapid scale and cost control when local capacity maxes out.
No, you do not need to share your API credentials. The system uses a BYOAPI approach where your keys stay locally on your machine and are never proxied, ensuring secure multi-cloud access.
The best way to handle multi-cloud inference bursts is using real-time price-driven provisioning. It automatically selects the cheapest provider and spins up GPUs in parallel to manage peak workload overflow efficiently.
Automatic cheapest-provider selection works by evaluating real-time GPU pricing across 11 providers. It triggers parallel provisioning on the lowest-priced cloud to ensure rapid scale and cost control for Kubernetes deployments.
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