Top GPU sandboxes for AI agents

Accessing a GPU safely for AI agents involves creating isolated environments that suit untrusted or agent-generated code, and this guide compares four platforms—Northflank, Modal, Hugging Face, and NVIDIA OpenShell—to find suitable GPU sandboxes for AI workloads. Northflank offers sandboxes ideal for production systems with persistent environments, infrastructure control, and support for various GPU models, while Modal provides a managed serverless platform with a wide range of accelerators. Hugging Face focuses on dedicated VM-based GPU environments integrated with its ecosystem, and NVIDIA OpenShell presents a self-managed option for policy-controlled experiments. Each platform differs in aspects like isolation, persistence, deployment, and maturity, catering to various needs such as production deployment, managed services, VM-based experiments, or alpha-stage software testing. The choice of GPU sandbox depends on specific workload requirements, including GPU allocation, lifecycle needs, deployment preferences, and the fit within broader platform ecosystems.

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