Sandboxer vs Hugging Face Jobs

Hugging Face Jobs runs a command in a Docker image on a chosen hardware flavor (CPU, GPU, TPU) and bills by the second; experimental Sandboxes are built on top of it. It differs from Sandboxer in being job-oriented with a 30-minute default timeout and GPU flavors. Pick it for ML training and batch work; pick Sandboxer for interactive full-VM environments.

Checked against Hugging Face Jobs' public docs on October 24, 2026. Sources are linked in the table and listed below.

At a glance

Sandboxer and Hugging Face Jobs compared
Capability	Sandboxer	Hugging Face Jobs
Isolation	microVM Cloud Hypervisor, its own kernel	container (Jobs); full VM (dedicated Sandboxes) Jobs run a Docker image; docs say a dedicated Sandbox is a VM of its own, pooled sandboxes use uid + Landlock.
Full Linux with root	Ubuntu 24.04, sudo, systemd
Docker inside	Preinstalled	partial Runs any Docker image from Docker Hub or Spaces; running a Docker daemon inside is not documented.
Nested virtualization (/dev/kvm)
Pause and resume with memory	Running processes come back
Fork a sandbox	Copy-on-write disk copy that boots fresh
HTTPS URL per port	Private with a token, or public	expose_public makes a container port reachable through the Jobs proxy without authentication; expose requires an HF token.
Longest session	No limit on paid plans Auto-stop is up to 30 days or off	30 min default, configurable; 24 h cap for Sandboxes Jobs accept a timeout in seconds up to days units; dedicated Sandboxes have a fixed 24 h maximum.
Billing	Per second, flat rate per size Stopped sandboxes are free	per second, pay-as-you-go by hardware flavor Requires a positive credit balance; e.g. cpu-basic 2 vCPU/16 GB $0.01/h, cpu-upgrade 8 vCPU/32 GB $0.03/h.
GPUs		T4, L4, L40S, A10G, A100, H200 and RTX PRO 6000 flavors.
Self-host or open source
Regions	US East (Virginia) and EU Central (Finland)

= not documented publicly.

Where Hugging Face Jobs is strong

Wide GPU range (T4 to H200) billed by the second with no setup.
Any Docker image can be the environment, including images from Hugging Face Spaces, with volumes mounted from Hub repos and buckets.
Jobs can be scheduled with cron syntax, retried, and exposed on ports or reached over SSH.

Where Sandboxer differs

Jobs are command-oriented with a 30-minute default timeout; Sandboxer sandboxes are persistent full Ubuntu VMs with systemd and root.
Hugging Face's Sandboxes are labelled experimental; Sandboxer's sandboxes stop and resume with memory and processes intact.
Hugging Face offers GPUs; Sandboxer has no GPUs today.

Pick Hugging Face Jobs if

You need GPUs for training, inference or batch data work.
You want to run a container image against Hub models and datasets directly.
You want scheduled or fire-and-forget jobs billed per second.

Pick Sandboxer if

You need a full Ubuntu 24.04 VM with root, systemd, Docker and nested KVM rather than a container or job runner.
You want stop to save memory and disk and resume to bring running processes back, with stopped sandboxes costing nothing.
You want coding agents (Claude Code, Codex, OpenCode and others) preinstalled and driven through a prompt API, with per-second billing.

Sources

Products change. If something here is out of date, email hello@sandboxer.com and we'll fix it. Hugging Face Jobs is a trademark of its owner. Sandboxer is an independent product and is not affiliated with Hugging Face Jobs.

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