Choose sandbox infrastructure that matches how your team operates.

Teams that want a hosted AI sandbox service with published usage meters and startup credits.

Run self-hosted clusters for $1 per cluster per month, schedule workloads on your own hosts, attach distributed volumes, and move to managed GlobalStacks clusters only when you want operated capacity.

Vercel-native applications that need isolated code execution close to the Vercel platform.

Use GlobalStacks when sandboxes need to run across owned hosts, Proxmox, bare metal, private networks, regional infrastructure, or future managed clusters instead of staying inside a Vercel-only workflow.

Teams that want a focused code-interpreter sandbox API with established AI-agent adoption.

Choose GlobalStacks when sandbox economics and control matter: connect your own machines, keep capacity close to your data and networks, and pay a low cluster-level platform fee for self-hosted infrastructure.

ML-heavy workloads, GPU-backed agent tools, and teams already using Modal's serverless model.

Use GlobalStacks when sandboxes need private-network placement, host-agent control, owned clusters, distributed volumes, and a path from self-hosted capacity to managed GPU capacity later.

Teams that want a broader managed platform with competitive hosted compute and GPU pricing.

GlobalStacks lets teams reuse hardware, cloud accounts, Proxmox nodes, and private networks instead of moving every sandbox workload to a hosted platform meter.

AI app builders and products that need persistent full VMs at low hosted CPU rates.

Choose GlobalStacks when your team has existing hosts, wants cluster-level scheduling, and needs a control plane for sandbox runtimes, mesh networking, and volumes across owned machines.

Idle-heavy agent sessions that benefit from automatic standby and fast resume.

Use GlobalStacks when your team wants sandbox workloads on customer-owned infrastructure for a flat cluster fee, with controlled networking, host placement, and storage behavior.

Teams building coding agents that value Devbox workflows, benchmark features, and enterprise VPC deployment.

GlobalStacks helps teams supply sandbox capacity from their own hosts, keep placement and networking explicit, and avoid paying hosted Devbox rates for every workload.

Cloudflare-native products that need programmable containers linked to Workers.

Use GlobalStacks when sandboxes need to run on private infrastructure, Proxmox, host-agent clusters, distributed volumes, or runtime networks outside a single edge platform.

Products that need VM snapshots, environment forking, and code interpretation tied to Together AI workflows.

Choose GlobalStacks when the priority is customer-owned infrastructure, cluster scheduling, agent mesh networking, and a flat self-hosted cluster fee.