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 on bare metal or inside VMs you already run.
The Problem
AI agents need sandboxing, GPU access, and fast lifecycle management. Today's options force a tradeoff.
Containers
Fast to start, but every container shares one kernel and a compromised agent can escape it. GPU passthrough works, but isolation is 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 on bare metal or inside VMs you already rent. 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. Free to download and build; enterprise adoption runs through our design partner program.
Open Source
Download and build from source. Deploy AI agent sandboxes on any Linux machine with full GPU access. Community support via GitHub issues.
Design Partner Program
We are onboarding a small number of AI platform teams as design partners: the team that builds Multikernel works embedded with yours, and your requirements drive the roadmap.