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Fluidstack Bare Metal Cloud

#24 of 28 in Cloud Dedicated Server Hosting

Fluidstack Bare Metal Cloud: A managed bare-metal option for GPU training, inference, and batch workloads. Ranked #24 of 28 in Cloud Dedicated Server Hosting by our editors (6.3/10); pricing: Pricing on request; best for managed GPU cluster and batch workloads.

6.3/10Editor score
Fluidstack Bare Metal Cloud6.3 Visit Fluidstack

At a glance

  • Editor score
    6.3 / 10
  • Pricing
    Pricing on request
  • Best for
    Managed GPU cluster and batch workloads
  • Facts checked
    20 Sep 2026
Fluidstack Bare Metal Cloud screenshot
  • Where it wins

    • Managed Kubernetes and Slurm environments on bare metal
    • GPU and network operator support for NVIDIA infrastructure
    • Health checks, observability, and topology-aware scheduling
  • Where it doesn't

    • Requires a contact-sales buying process
    • Focused on Kubernetes and Slurm rather than general hosting
    • Best suited to GPU and batch workloads, not broad server needs

Our verdict on Fluidstack Bare Metal Cloud

Fluidstack Bare Metal Cloud provides managed bare-metal infrastructure for AI model training and inference. It is aimed at AI labs and organizations running GPU clusters, distributed workloads, and batch processing. The platform supports both managed Kubernetes and managed Slurm, giving teams a choice between container orchestration and scheduler-based compute management. Its web and API access also suit teams that need infrastructure workflows beyond a single server interface.

The platform’s strongest differentiator is its focus on operational control for demanding compute environments. NVIDIA GPU Operator and NVIDIA Network Operator support are included, while Pyxis and Enroot support align with Slurm-based container workflows. Passive and active health checks, cluster and job observability, user management, and topology-aware scheduling address the coordination needs that arise when workloads span multiple GPUs and bare-metal nodes. This makes the product more relevant to teams managing repeatable training or batch pipelines than to buyers seeking a simple dedicated server.

Fluidstack Bare Metal Cloud is a focused choice for organizations that want managed Kubernetes or Slurm without assembling the surrounding GPU and scheduling components themselves. It should appeal to teams that value operator support, workload visibility, and topology-aware placement as part of a managed service. Buyers looking for conventional dedicated hosting, a broad general-purpose server catalog, or a self-service plan comparison should consider a different category option. The product fits best when GPU infrastructure and batch orchestration are central requirements rather than secondary features.

Your product? Our editors can test Fluidstack Bare Metal Cloud in depth and publish a review, labelled as paid · from $149/mo →

Fluidstack Bare Metal Cloud pricing

Plans Pricing on request No free plan — trial or paid only. Prices checked 20 Sep 2026.
See plans on fluidstack.io

Fluidstack Bare Metal Cloud fact sheet

Free planNot verified
Paid fromNot verified
CPU architectureNot verified
Entry-plan RAMNot verified
Network uplinkNot verified
NVMe storageNot verified
GPU instancesYes
Hourly billingNot verified
DeploymentCloud
PlatformsWeb
SupportDocs
Built forEnterprise (editorial estimate)
Integrations4 integrations: NVIDIA GPU Operator, NVIDIA Network Operator, Pyxis, Enroot
PricingPricing on request
Websitefluidstack.io
Facts checked20 Sep 2026

Fluidstack Bare Metal Cloud integrations

Fluidstack Bare Metal Cloud lists 4 integrations on its own site.

  • NVIDIA GPU Operator
  • NVIDIA Network Operator
  • Pyxis
  • Enroot

Alternatives to Fluidstack Bare Metal Cloud

See all Fluidstack Bare Metal Cloud alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Fluidstack Bare Metal Cloud 6.3/10

Fluidstack Bare Metal Cloud is listed in our Cloud Dedicated Server Hosting directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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