GPU Cloud Providers: What's the Difference Between Bare Metal, Dedicated, and Leased GPUs?
Last reviewed: October 2026
There are two main factors to consider when comparing GPU cloud providers:
- Do you know how many GPU-hours you'll need each month? This determines whether on-demand or committed rates make more sense.
- Do you need single-tenant hardware? This determines whether bare metal or dedicated hosting is necessary.
These categories are not mutually exclusive. Bare metal and dedicated hosting describe the type of infrastructure you're getting, whereas on-demand and reserved describe how you purchase that infrastructure. For example, you can rent a bare-metal server on-demand for a few hours or under a longer-term contract.
If your compute needs are spiky or project-based, an on-demand option is likely the best fit. If you have predictable compute needs and want to lock in a lower hourly rate, reserving capacity may make more sense. If you need physical isolation for your workloads or greater control over the hardware, consider bare metal or dedicated hosting.
What's the Difference Between Bare Metal, Dedicated, Leased, and On-Demand GPUs?
The four options differ in hardware control, workload suitability and commitment terms.
| GPU hosting option | Best for | Main drawback | Commitment |
|---|---|---|---|
| Bare metal | Direct hardware control, physical isolation and minimal virtualization overhead | Less elastic than standard cloud instances | Hourly or contract |
| Dedicated hosting | Dedicated capacity with contractual SLAs and support responsibilities | Procurement and contract negotiation | Contract term |
| Leased / reserved | Predictable workloads with sustained GPU usage | Paying for unused committed capacity | Provider-dependent, often months to years |
| On-demand | Spiky, experimental or project-based workloads | Typically higher hourly rates | No fixed commitment |
The Four Options Explained
On-demand: Purchasing infrastructure at a pay-as-you-go rate with no fixed commitment. For example, if you're looking for a smaller number of GPUs (1–8), you can self-serve and launch a Lambda GPU instance in minutes, paying for the minutes the instance runs.
Bare metal: Renting entire physical servers without a hypervisor between the operating system and the underlying hardware. According to Akamai, removing virtualization overhead can help reduce latency and provide greater control for high-performance workloads. Commercial terms vary, and you may be able to rent a bare-metal server hourly or through a longer-term contract.
Dedicated hosting: An arrangement where you receive single-tenant GPU infrastructure under a hosting contract. The contract defines the capacity you're receiving, SLA scope, hardware responsibilities, support and term length. The hardware provided under a dedicated hosting arrangement may itself be bare metal.
Leased / reserved: Committing to capacity for a specified period, often in exchange for a lower hourly rate. According to GetDeploying's GPU pricing reference, reservation terms can range from one month to several years, although shorter commitments are available from some providers. Large GPU cluster reservations are commonly negotiated through custom contracts. For example, if you're looking for a larger number of GPUs (16 to 2,000+), you can request a Lambda 1-Click Cluster with term-based pricing.
Note: This comparison excludes spot capacity, which is interruptible GPU capacity offered at a discounted rate.
How Do GPU Cloud Pricing and Commitment Terms Compare?
Pricing depends on whether you're purchasing flexible capacity or committing to a contract. Bare metal and dedicated hosting may also carry different commercial terms depending on the provider.
| Option | Pricing structure | Financial consideration |
|---|---|---|
| Bare metal | Hourly rate or custom contract | Depends on provider and deployment size |
| Dedicated hosting | Usually contract pricing | SLA and support costs need checking |
| Leased / reserved | Committed spending, typically at a discounted rate | Risk of paying for unused capacity |
| On-demand | Pay-as-you-go GPU-hours | Costs increase with sustained utilization |
How Much Would Eight B200 GPUs Cost for Six Months On-Demand?
Lambda lists an eight-GPU NVIDIA HGX B200 instance at $6.69 per GPU-hour as of October 2026.
Using 730 hours per month, six months of continuous operation equals 4,380 hours per GPU.
Total cost = 8 × 4,380 × $6.69 = $234,417.60
This provides a benchmark for comparing an on-demand deployment with a reserved quote for the same GPU configuration.
If the reserved quote is lower than your projected on-demand spend at your expected utilization, committing to capacity may make economic sense.
Zettabyte's zCLOUD offers on-demand GPU capacity alongside reserved clusters and private cloud.
How Do You Choose the Right Combination of GPU Cloud Options?
Consider these three questions to determine which combination best fits your workload.
- Does your workload need dedicated hardware? Consider security requirements, tenancy, hardware control and performance. These determine whether shared infrastructure is acceptable or whether you need bare metal or dedicated capacity.
- Do you know how much you'll use the hardware? Refer to Northflank's rent-or-buy guide for more detail. Generally, variable workloads favor on-demand renting. Once you have predictable utilization, consider a longer commitment or ownership.
- If you need dedicated hardware, what contract terms are you comfortable with? If you're considering dedicated GPU hosting, review these dedicated hosting contract considerations. If you're thinking about buying your own hardware, compare the economics in our colocation vs. cloud guide.
What Should You Check in a GPU Cloud Quote?
Before committing to GPU capacity, check the following:
- How is usage metered? What triggers the start of billing? This is particularly important for short workloads, where billing increments and startup time can affect costs.
- What are the storage and egress policies? Storage may be billed separately from the GPU-hour rate. See our GPU as a Service guide for more information. Egress can be included or billed per GB, depending on the provider.
- What does support include? Check response times, hardware failure coverage and workload debugging. Are these included in the base rate or billed separately?
- What are the exit terms? If you've committed to a certain spend, what happens if you cancel early? The consequences can differ substantially between short reservations and multi-year contracts.
Make sure you're comparing equivalent configurations. Two providers may offer the same GPU model but different CPU capacity, RAM, storage, network fabric and interconnect performance.
Once you've filtered providers for technical and operational fit, calculate what you'd spend on-demand at your expected utilization and compare it with a committed quote for the same configuration.