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VMetal

run a GPU cloud on bare metal without OpenStack

Details

External ID
47433599
Source
HN
Company
—
Product
VMetal
Website domain
vmetal.ai
Launched
March 19, 2026
Cohort
—
Upvotes
12
Upvotes percentile
0.6439114391143912
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hi everyone — looking for feedback on a new infrastructure project we launched called vMetal. It's a bare metal management platform for GPU clusters that handles machine discovery, PXE booting, and lifecycle management, without the OpenStack complexity. Built around Kubernetes-native workflows so you can hand it off to teams or drop it into an existing platform. A lot of the infra platforms used for this today were designed 20 years ago (VMware, OpenStack, NVIDIA BCM, MAAS, etc.), while newer tools usually solve only a small piece of the stack. Neither were built with modern GPU cluster ops in mind. In practice most setups end up stitching things together or building custom provisioning pipelines.With vMetal we took a different approach: treat physical machines like programmable infrastructure resources. Compared to tools like MAAS or Tinkerbell, vMetal is designed around a few ideas: - Bare metal lifecycle automation: Automatically discover machines on the network, boot them, install OS images, and reprovision nodes as hardware moves between clusters or workloads. Built on Metal3 and Ironic. -Built for GPU cluster ops: Supports environments where nodes frequently move between clusters, capacity pools, or tenant workloads. -Direct Kubernetes integration: Provisioned machines can be attached directly to Kubernetes clusters as nodes or assigned to infrastructure pools. -Works with Kubernetes multi-tenancy layers: Integrates with vCluster (virtual clusters) and vNode (node-level isolation) so machines can move from bare metal provisioning into multi-tenant Kubernetes environments. We’ve shared a few other infrastructure projects here before (DevPod, vCluster), and the feedback from HN has been incredibly helpful. Curious how others here are handling bare metal provisioning today — MAAS, Ironic, Metal3, Tinkerbell, something custom?Open to any feedback, positive or negative.

Enrichment

Theme
gpu compute and acceleration tools
Vertical
Horizontal
Function
Model & infra
Audience
B2B
AI stance
Not AI
Project type
Commercial product
Normalized one-liner
gpu cloud on bare metal
Manually corrected
False

Could you build this?

No Developing a bare-metal discovery, PXE boot, IPMI/Redfish management, and GPU cluster orchestration platform requires deep datacenter networking and systems hardware expertise.

What it would actually take: A functional bare-metal provisioner requires DHCP/TFTP/iPXE servers, Redfish/IPMI protocol implementations for out-of-band hardware management, and custom Kubernetes controllers/CRDs to automate host lifecycle states. It needs low-level OS installation pipelines (e.g., Talos Linux or custom cloud-init images), SR-IOV / InfiniBand network fabric configuration, and hardware discovery daemons to validate physical GPU topologies (NVLink). Building and testing this demands physical data center hardware access and deep systems/kernel/networking engineers.

Discussion

1 comment analyzed.

Competitors

Other products that read as similar to this one — 142 launches clear the similarity bar, closest 8 shown.

Attention rank: #62 of 143 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 141 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.