# Preview: Slice Up Bare-Metal with Slicer

DevFeed: [Preview: Slice Up Bare-Metal with Slicer](<https://devfeed.tech/articles/preview-slice-up-bare-metal-with-slicer-26646.md>)

Original publisher: [Read original article](<https://blog.alexellis.io/slicer-bare-metal-preview/>)

Author: Alex Ellis

Published: 2025-08-30T08:09:48Z

Content type: release

Language: en

Sources: [Alex Ellis' Blog](<https://devfeed.tech/sources/alex-ellis-blog.md>)

Topics: [Firecracker](<https://devfeed.tech/topics/firecracker.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [OpenFaaS](<https://devfeed.tech/topics/openfaas.md>), [systemd](<https://devfeed.tech/topics/systemd.md>), [Arch Linux](<https://devfeed.tech/topics/archlinux.md>), [Arm](<https://devfeed.tech/topics/arm.md>), [migration](<https://devfeed.tech/topics/migration.md>), [Ollama](<https://devfeed.tech/topics/ollama.md>)

Tags: [arm](<https://devfeed.tech/tags/arm.md>), [bare-metal](<https://devfeed.tech/tags/bare-metal.md>), [boot](<https://devfeed.tech/tags/boot.md>), [deploy](<https://devfeed.tech/tags/deploy.md>), [firecracker](<https://devfeed.tech/tags/firecracker.md>), [k3s](<https://devfeed.tech/tags/k3s.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [linux](<https://devfeed.tech/tags/linux.md>), [network](<https://devfeed.tech/tags/network.md>), [preview](<https://devfeed.tech/tags/preview.md>), [self-hosting](<https://devfeed.tech/tags/self-hosting.md>), [slicer](<https://devfeed.tech/tags/slicer.md>), [storage](<https://devfeed.tech/tags/storage.md>), [systemd](<https://devfeed.tech/tags/systemd.md>), [testing](<https://devfeed.tech/tags/testing.md>), [work](<https://devfeed.tech/tags/work.md>), [x86-64](<https://devfeed.tech/tags/x86-64.md>)

## AI overview

OpenFaaS Ltd is previewing Slicer, an internal tool that partitions bare-metal hosts into Firecracker microVMs. The article describes use cases including Kubernetes cluster scaling, customer simulations, chaos testing, production troubleshooting, Arm and x86_64 testing, persistent workloads, multi-host deployments, and GPU access for Ollama.

## Source excerpt

The easiest and best supported way to learn and deploy Firecracker and microVMs.