Let agents run your RunPod GPU cloud
QX picks the right GPU, deploys pods and serverless endpoints, and keeps your infrastructure tidy—so your team ships models instead of babysitting consoles.
Stop hand-picking GPUs, juggling secrets, and watching idle pods burn cash. Hand it to an agent.
The right GPU, on demand
QX checks live availability and pricing across GPU types, picks the best fit for the job, and spins up pods or clusters with the templates and secrets already wired in.
Endpoints that ship themselves
Hand the agent a model and it builds the template, saves the serverless endpoint with the right GPU and scaling, and updates registry auth so deploys never stall on credentials.
No more idle GPU bills
QX watches running pods, flags ones sitting idle or oversized for the workload, and either rightsizes them or tears them down—then tells the team what it saved.
RunPod
Real workflows, built for your team
Chain RunPod with the rest of your stack to build workflows that ship models, control spend and keep infra clean. Trigger them on specific events, on schedule, or on demand.
ML Engineering: Ship a new model to a serverless endpoint
New model pushed to repo
Triggered in GitHub
Read model spec & requirements
Agent step
Check GPU types & pricing
in RunPod
Save template with image & env
in RunPod
Save serverless endpoint
in RunPod
Post endpoint URL to #ml-deploys
Alert via Slack
QX agents can pick GPUs, deploy endpoints, manage templates and secrets in RunPod—and a lot more
+ 5 more actions
About RunPod
RunPod is a GPU cloud built for AI and machine learning, offering on-demand pods, multi-node clusters and serverless endpoints across a wide range of NVIDIA GPUs. Its GraphQL API, template system and secret management make it well-suited to automated provisioning, deployment and cost control workflows.
About QX Labs
QX is an AI agent platform that helps you build, run and scale AI across your team in a few clicks. Create agents that connect to your data and 1,000+ apps, building institutional memory that gets sharper every run. Then delegate tasks to them from where you already work—Slack, Teams, WhatsApp or email.
See RunPod working inside your stack
Want an AI co-worker that runs your GPU infrastructure for you? Book a demo call to walk through your use cases, or get started for free.
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