Sandboxer vs SF Compute
SF Compute sells GPU capacity as reserved nodes (VMs, bare metal, managed Slurm) that you can sublease back when plans change. Sandboxer sells small per-second sandboxes with no GPUs. Pick SF Compute for large GPU training capacity; pick Sandboxer for agent sandboxes.
Checked against SF Compute's public docs on October 24, 2026. Sources are linked in the table and listed below.
At a glance
= not documented publicly.
Where SF Compute is strong
- Reserved GPU capacity can be resold when unused.
- VMs, bare metal and managed Slurm options.
- Purchasing and SSH access via the sf CLI.
- Public Ubuntu 24.04 with CUDA boot image.
Where Sandboxer differs
- SF Compute sells 8-GPU nodes; Sandboxer sells small CPU sandboxes.
- SF Compute has GPUs; Sandboxer has none.
- SF Compute instances can take up to 10 minutes to download and boot before SSH is available.
- SF Compute pricing is not fully published; Sandboxer prices are on its site.
Pick SF Compute if
- You need multi-node GPU capacity you can later resell.
- You want bare metal or Slurm.
- You want reserved GPU capacity you can later sell back.
Pick Sandboxer if
- You need a CPU sandbox with Docker, nested KVM and systemd that stops and resumes with running processes intact, and you do not need GPUs.
- You want coding agents (Claude Code, Codex and others) preinstalled and driven through a prompt API with streamed events.
- You want per-second billing with stopped sandboxes costing nothing and a flat $20 to $2000 monthly plan whose dollars return as machine time.
Sources
Products change. If something here is out of date, email hello@sandboxer.com and we'll fix it. SF Compute is a trademark of its owner. Sandboxer is an independent product and is not affiliated with SF Compute.
Other comparisons
Firecracker microVMs with memory-preserving pause and fork, and an open-source stack.
Many sandbox classes, from containers to VMs, Windows and GPUs.
Massive scale and GPUs for short-lived sandboxes, gVisor by default.
Firecracker microVMs billed on active CPU, inside the Vercel platform.
- Sandboxer vs Baseten
Platform for model inference and training with dedicated deployments billed per minute.
- Sandboxer vs Cerebrium
Serverless GPU and CPU platform for deploying AI apps, billed per second of compute.
- Sandboxer vs Crusoe Cloud
AI infrastructure cloud with GPU and CPU VMs, GPU clusters and managed inference.
- Sandboxer vs Hyperstack
GPU cloud from NexGen Cloud with on-demand and reserved GPU VMs billed per minute.
- Sandboxer vs Jarvislabs
GPU cloud with container instances, full VMs and serverless endpoints, billed per minute, with India regions.
- Sandboxer vs Nebius AI Cloud
Hyperscale-style AI cloud with GPU and CPU virtual machines, preemptible capacity and GPU clusters.
- Sandboxer vs OVHcloud GPU instances
Public Cloud GPU instances (H100, L40S, L4 and more) virtualised with KVM, billed hourly or monthly.
- Sandboxer vs Paperspace (DigitalOcean)
Cloud GPU and CPU virtual machines, notebooks and container deployments, now part of DigitalOcean.
- Sandboxer vs Replicate
Cloud API for running, fine-tuning and deploying AI models, billed per second of hardware or per output.