Firecracker for humans.

Boot Linux microVMs in <1s - for sandboxes and services.

SandboxesLinux machines via API

ServicesDatacenter on a diet

Read 2025 wrap-up Documentation

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Slicer Sandboxes

API-driven microVMs for automation in ~300ms

Build and run untrusted code, background jobs, preview environments, autoscaling infrastructure, and sandboxes.
Run untrusted code with the ease of containers, but a full guest Kernel, OS and systemd.

Linux on demand

Run background jobs, code workspaces, bots, and AI agents via REST API or Go SDK.

Share secrets securely from the host

Securely inject secrets and credentials into microVMs from the host.

Slicer Agent - API for Linux

Program Linux systems with slicer's guest agent for cp, exec, shell, metrics, and port-forwarding..

PCI passthrough for GPUs, TPUs, and NICs

Mount PCI devices like GPUs, TPUs, and NICs into microVMs for hardware acceleration.

Examples of code sandboxes:

AI Agents and code sandboxes

Run automated bots for code reviews, notifications, and integrations. See our code review bot built with opencode.

Convert videos with ffmpeg

microVMs are better suited for processing large media files. See example.

Ephemeral Jenkins CI runners

Spins up isolated CI/CD runners on-demand with a fully isolated guest Kernel. Learn more.

Self-hosted Kubernetes with node autoscaling

Launch Kubernetes nodes via API with node scaling and termination.

# Run headless workloads just like containers
# - from the CLI, or from code.

$ slicer vm new \
    --userdata-file setup_opencode.sh
$ slicer vm cp ./pr.tgz vm-1:/home/ubuntu/
$ slicer vm exec vm-1 \
    -- tar -xcf /home/ubuntu/pr.tgz
$ slicer vm exec vm-1 opencode \
    -m "Review this code and quit when done" \
    >> /tmp/REVIEW.md
$ slicer vm vm-1:/tmp/REVIEW.md ./REVIEW.md

Slicer Services

Customer support for AI & cloud native products

Reproduce customer issues in seconds, not hours. Spin up test environments on cost-effective bare-metal instead of expensive cloud instances.

Fast issue reproductions

Boot up a fresh environment to reproduce bugs and ship fixes in minutes, not hours.

Ubuntu & Rocky Linux

Boot a Debian- or RHEL-like OS that matches your customer's production environment.

Cost-effective bare-metal

Run on your own bare-metal hardware at a fraction of cloud costs. No more unhinged cloud spend for test environments.

Disposable Kubernetes clusters

One of the fastest ways to spin up HA Kubernetes clusters for customer support and testing environments.

# Kubernetes in seconds, not 30 minutes.
# Tear down in a few seconds.

$ slicer new k3s --count=3 > k3s.yaml
$ slicer vm list --json > devices.json

$ k3sup-pro plan --user ubuntu
$ k3sup-pro get-config --merge \
    --local-path ~/.kube/config \
    --context slicer

$ kubectx slicer
$ kubectl get node
NAME    STATUS    AGE   VERSION
k3s-1   Ready     53s   v1.33.6+k3s1
k3s-2   Ready     56s   v1.33.6+k3s1
k3s-3   Ready     59s   v1.33.6+k3s1

Why microVMs over datacenter-style solutions?

Lightning fast, easy to use, and built for modern workloads — without the datacenter overhead of Proxmox, kubevirt, or ESXi.

Quicker to set up and maintain

No ISO, just install to Ubuntu LTS. Run your first a VM in single-digit minutes.

API-first automation

Deploy via declarative YAML configs, REST API , or Go SDK

Container-like simplicity

Instant disk cloning, fast boot, full OS, and systemd. Customise the OS with Docker or a userdata script.

No expensive SANs needed

Fast, local ZFS support with snapshots and clones. Run on local NVMe or SSDs — no network storage required.

Portable - from edge, to cloud

Runs anywhere you can install Linux. From on-premises servers, to edge devices, to bare-metal cloud, to a homelab.

Better utilization

Lightweight microVMs use fewer resources than traditional VMs. Run more workloads on the same hardware with better performance.

# Simple, fast, automated setup
# Install directly to existing Ubuntu LTS installations

$ curl -SLs https://get.slicervm.com | sudo -E bash
$ slicer --help

Lightweight hosting and customer appliances

Run appliances and multi-tenant hosting for customers, without the additional overhead of Kubernetes or traditional hypervisors. Use your own hardware, or ship a VM to your customers to run with Slicer.

Native ZFS snapshots

Built-in backup support with ZFS snapshots. Instant backups and restores without additional backup infrastructure.

Managed services

Host Prometheus, Postgres, or other services for customers. Create a full system with a hard boundary that's easier to secure than Kubernetes or containers.

Appliances

Package apps and appliances as OCI images, or supply custom userdata scripts to run on boot. Slicer is self-contained, easy to deploy, and maintain.

Multi-tenant hosting

Build and host untrusted code for customers with network and compute isolation.

# As simple as delivering a userdata-script or a 
prebuilt image to your customer.

$ slicer new monitoring --count=1 \
   --userdata-file ./install-prometheus.sh \
   > appliance.yaml
$ slicer up ./appliance.yaml

$ slicer new --image \
  123456789012.dkr.ecr.us-east-1.amazonaws.com/app:v1.0.0 \
  > appliance.yaml
$ slicer up ./appliance.yaml

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