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Bare metal hosting for AI workloads: achieving maximum performance and data isolation

Bare metal hosting for AI workloads
Mihajlo Ivanović
Mihajlo Ivanović Content Writer
Oct 27, 2025 7 min read

What is bare metal hosting?

Types of bare metal servers

CPU bare metal servers

GPU bare metal servers

CPU vs. GPU-based bare metal hosting for AI workloads

TypeCPU-basedGPU-based
Processing unitsIntel CPUs (Xeon, Xeon Gold, and Xeon Scalable) and AMD CPUs (EPYC)NVIDIA GPUs (L4, L40S, H100, A10, A40, A100, V100, B200) and AMD GPUs (Instinct MI300X)
Processing styleSequentialParallel
Ease of setupHighModerate
ScalabilityLowModerate
Energy consumptionFrom 500W to 2,000W+From 600W to 40,000W+
Pricing$30/month – $1,000/month$0.80/hour – $10/hour
Typical use casesHigh-performance and data-intensive applicationsMachine learning and natural language processing

Benefits of choosing bare metal hosting for AI over cloud servers

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Top-tier performance

Predictable resource allocation

Better security and data isolation

Easier compliance with security standards

Complete control over hardware

Remote access from anywhere

Drawbacks of using bare metal servers over cloud environments

  • Higher costs. Compared to cloud servers or VPS, bare metal plans come at a higher price. In fact, they’re more expensive regardless of whether you’re renting on a monthly or hourly basis.
  • Limited scalability. While bare metal plans let you add more servers (horizontal scaling) or upgrade hardware (vertical scaling), their scalability pales in comparison to cloud servers. These setups allow you to add or remove resources as needed, at your discretion.
  • Slower deployment. Going the bare metal route over the cloud environment typically means manual provisioning and, thus, longer wait times before your server is ready. That is, unless you go with a provider that offers automated provisioning, such as Liquid Web.

How to choose the right hosting partner for your AI workloads

  • Choose the right type of hosting. Unless you’re dealing with the most basic of AI tasks, you’ll want to go with hosting plans that give you full access to the server’s resources. This means opting for bare metal rather than VPS or cloud environments.
  • Pick the right type of server. Not all bare metal servers are created equal. While CPU-based ones are great for general-purpose computing, real AI workloads require higher parallel processing power, making GPU bare metal servers the go-to choice.
  • Evaluate the provider. With the type of hosting and server figured out, you’re free to explore the various providers that offer what you’re after. But before you opt for any one of these, you should first evaluate their hardware, look into their pricing, and check customer support availability and response times.
  • Verify compliance certifications. Although not always a requirement, especially for individuals, a provider’s adherence to specific security standards can matter. If your company is in one of the industries that have to comply with HIPAA or PCI, you’ll have to manually vet the provider.

Final thoughts: are bare metal servers the right choice for AI?

FAQ

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