Dan A williams
@verlex.dev
Verlex runs any Python function on cloud GPUs in one line, routing every job to the cheapest of 15 clouds. Provider price at cost + a fixed service fee from $0.02/hr. Spot routing saves 60-80% off list, with automatic checkpoint recovery.
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About Dan A williams
Verlex is a cloud compute orchestration service that helps developers run compute-heavy Python workloads through a single endpoint. It connects to 15 cloud providers, including AWS, Google Cloud, Azure, RunPod, Vast. ai, and Lambda Labs, and routes each job to the cheapest qualified option based on live pricing, availability, and reliability.
Users can submit code without managing separate provider accounts, credentials, quotas, or deployment scripts. Verlex supports GPU workloads such as AI training and fine-tuning, image and video generation, LLM inference, batch processing, and interactive sessions. It can also use available local resources first and move workloads to the cloud when more capacity is needed.
For spot instances, the service can retry, fail over, and recover from checkpoints if capacity disappears or execution fails. Billing is prepaid and metered by the second, with a fixed service fee starting at $0. 02 per hour; instances are stopped when jobs finish.
Verlex offers Python integration, documentation, and a quickstart for developers building and running workloads
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