Home Multikernel Cloud Multikernel Sandbox Multikernel LiveUpdate Technology Roadmap FAQ Getting Started Blog About GitHub Schedule a Demo
Multikernel Sandbox

Kernel-Level Sandboxing for AI Agents

Give each AI agent its own Linux kernel with full GPU access and strong isolation. No virtualization layer between the agent and hardware. No nested virtualization required. Works inside any standard cloud VM.

The Problem

AI agents need sandboxing, GPU access, and fast lifecycle management. Today's options force a tradeoff.

Containers

Fast to start but share a kernel. A rogue agent can escape. GPU passthrough works but isolation is weak. Not sufficient for untrusted code execution.

Virtual Machines

Strong isolation but heavyweight. GPU passthrough requires SR-IOV or vGPU. Nested virtualization in cloud VMs adds significant performance overhead.

Multikernel Sandbox

Each agent gets its own kernel with direct GPU access. Kernel-level sandboxing without virtualization. Native performance inside any cloud VM.

Built for AI Workloads

Full GPU Access

No virtualization layer between the agent and GPU hardware. Direct access to CUDA, ROCm, and other GPU frameworks at native performance.

Kernel-Level Isolation

Each agent is sandboxed in its own kernel. A compromised agent cannot access other agents' memory, devices, or kernel state.

Fast Checkpoint/Restore

Lightweight kernel state enables rapid snapshots. Save, restore, and clone agent environments in milliseconds.

No Nested Virtualization

Runs inside any standard cloud VM on AWS, GCP, or Azure. No special instance types. No hypervisor overhead.

Shared Model Weights

DAXFS enables zero-copy sharing of model weights across agent enclaves. One copy in memory serves all agents.

Docker Compatible

Deploy agents using your existing Docker images and workflows. No new packaging format, no new APIs.

How to Get It

Multikernel Sandbox is open-source software you deploy on your own infrastructure. Available as a free download with optional enterprise support.

Open Source

Download and build from source. Deploy AI agent sandboxes on any Linux machine with full GPU access. Community support via GitHub issues.

Enterprise

Turnkey AI sandboxing with dedicated engineering support for your agent infrastructure.

Pre-configured sandbox images with GPU drivers pre-installed
Integration with your AI orchestration pipeline
Custom security policies and sandbox hardening
Priority engineering support with SLA-backed response times
Multi-tenant isolation architecture design
Monitoring and observability for sandbox fleet management