Provider comparison

GlobalStacks vs Daytona

Daytona is a strong hosted AI sandbox platform. GlobalStacks is the better fit when your team wants the same sandbox infrastructure pattern on machines you already operate.

Daytona

When Daytona fits

Best fit
Teams that want a hosted AI sandbox service with published usage meters and startup credits.
Pricing
$0.0504 per vCPU-hour, $0.0162 per GiB-hour, and $0.000108 per GiB storage-hour after included storage.
GPU
H100 at $3.95 per GPU-hour and RTX PRO 6000 at $3.03 per GPU-hour.
Important tradeoff
If you only want hosted sandboxes and do not need infrastructure ownership, Daytona's managed pricing is closely comparable.

GlobalStacks

When to choose GlobalStacks

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.

Self-hosted pricing

$1 per self-hosted cluster per month, plus the infrastructure you already operate.

Managed pricing

Managed clusters use transparent usage meters: $0.0504 per vCPU-hour, $0.0162 per GiB memory-hour, $0.000108 per GiB storage-hour, H100 at $3.95 per GPU-hour, and RTX PRO 6000 at $3.03 per GPU-hour where available.

Decision guide

Pick the model that matches your workload.

Choose GlobalStacks when sandbox infrastructure needs to run across your own hosts, private networks, storage systems, and regional capacity choices. Self-hosted clusters keep the platform fee low while your team controls the underlying machines.

Use managed GlobalStacks clusters when you want the same control-plane model without operating the capacity yourself.

Pricing reviewed June 14, 2026. Source: Daytona pricing.

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