Cumulus

Founded by Veer Shah in 2025

Schedule GPU workloads, serve AI models, and run agents across devices

Pricing model

Pay As You Go

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Cumulus to orchestrate GPU compute resources, serve multi-modal models, and deploy autonomous agents across cloud, phone, and edge environments. Its Paladin engine dynamically predicts compute demands and packs jobs into available GPU capacity to maximize hardware utilization. With Ion, you can run text, vision, and audio inference via an API or on dedicated hardware. Its Talos component lets you fine-tune models for specific tasks, build observable agent workflows, and trace execution to inspect latency and costs.

What Cumulus does

Schedule GPU compute jobs across clustersPack workloads into spare GPU memoryServe multimodal AI models via APITrace and debug autonomous agent stepsFine-tune models for custom tasksRebalance running jobs across hardware nodesMonitor GPU utilization and quotasPredictive GPU workload scheduling and capacity sharingDynamic job repacking and rebalancing across GPU clustersMulti-modal model inference supporting text, image, and audioOpenAI-compatible inference API endpointDeployment of agent workflows across cloud, mobile, and edge devicesDetailed execution tracing for inspecting model and agent actionsTask-tuned model fine-tuning for specialized agent behaviors

Pricing breakdown

Pricing model: Pay As You Go

Tutorials & Demos

Frequently asked

OpenAI

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