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Best GPU server hosting: six providers compared for 2027
GPUs now power AI/ML workloads in almost every industry, from cybersecurity to healthcare, and GPU server hosting makes that power available to more organizations. Several providers now offer dedicated GPU servers, so which one is the best GPU server hosting for your team?
There’s no easy answer, of course, because the “best” GPU server hosting depends on your business needs, physical location, and more.
Let’s look at six providers of dedicated and bare metal GPU servers side-by-side, so you can decide which is best for you and your organization.
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Best GPU server hosting at a glance
Each provider below sells dedicated or bare metal GPU servers, and each fits a different workload.
- Servers.com: Best for long-term AI workloads that need custom bare metal GPU servers without the on-demand premium.
- Liquid Web: Best for dedicated NVIDIA L4, L40S, and H100 NVL servers on hourly or monthly plans with 24/7/365 expert support.
- GPU Mart: Best for budget GPU servers for individuals and small teams.
- Hetzner: Best for low-cost dedicated GPU servers in Europe.
- Leaseweb: Best for configurable dedicated GPU servers across Europe, North America, and Asia Pacific.
- OVHcloud: Best for bare metal NVIDIA L4 and L40S servers on monthly terms.
GPU server hosting overview
| GPU options | Contract terms | Support | Global presence | |
|---|---|---|---|---|
| Servers.com | NVIDIA, AMD, or Intel; custom builds | Long-term agreements | Engineer consultation on AI stack compatibility | Global (North America, Europe, South America, Asia Pacific) |
| Liquid Web | NVIDIA L4, L40S, H100 NVL | Hourly and monthly plans | 24/7 expert support | Limited |
| GPU Mart | 20+ NVIDIA models | Monthly plans | Basic support | Limited |
| Hetzner | RTX 4000, RTX 6000 Ada | Monthly plans | Basic support, can be slow | Primarily Europe (Germany, Finland) |
| Leaseweb | NVIDIA L4, L40S, H100 NVL | Varies by build | 24/7 customer support | Global (Europe, North America, Asia Pacific) |
| OVHcloud | NVIDIA H100, V100S, A10, L40S, L4 | Hourly and monthly plans | Mixed reviews on support | Global (multiple regions) |
1. Servers.com
Servers.com suits teams that move AI workloads from tests to long-term production and don’t want to keep paying on-demand rates. Its AI Compute service rents custom bare metal GPU servers with NVIDIA, AMD, or Intel GPUs matched to your CPU, memory, storage, and network requirements.
Strengths:
- Custom GPU builds: NVIDIA, AMD, or Intel GPUs configured to your workload.
- Full hardware control: iDRAC access, custom RAID arrays, and any operating system.
- One private network: GPU servers run alongside Servers.com CPU-based bare metal servers.
Challenges:
- Not on-demand: AI Compute needs a long-term agreement, so it does not suit short tests or hourly experiments.
- Quote-based price: Rates are not published, so each build needs a quote.
2. Liquid Web
Liquid Web provides high-performance GPU server hosting built for demanding workloads. Offerings include NVIDIA GPUs like the L4 Ada 24GB, L40S Ada 48GB, H100 NVL 94GB,and H200, which suit teams that train AI models, analyze large datasets, and run high-performance compute jobs.
Servers come with pre-configured AI/ML frameworks, Docker with NVIDIA container toolkit, and integration with NVIDIA NGC.
Pricing starts at $1.07 per hour for the L4 GPU, with various configurations available to meet different performance requirements.
Strengths:
- High-performance GPU hosting: Built for AI, ML, deep learning, and high-performance workloads.
- Round-the-clock support: Offers 24/7/365 support with expert assistance.
- Pre-configured AI/ML environments: Includes Docker with NVIDIA toolkit and NGC integration for ease of deployment.
- Flexible plans: Hourly and monthly plans fit short projects and always-on workloads.
- PCI-compliant, HIPAA-audited: Configured to strict compliance and audit standards that safeguard data and AI workloads.
Challenges:
- Higher pricing: Starts at $1.07/hour, which can be costly compared to budget-friendly options like Hetzner or GPU Mart.
- Less variety in consumer-grade GPUs: Focuses on data center GPUs (L4, L40S, H100 NVL, H200) rather than entry-level or gaming GPUs.
3. GPU Mart
GPU Mart specializes in GPU hosting tailored for applications like AI, machine learning, deep learning, and large language models. They offer a range of NVIDIA GPU models to match various performance requirements.
Services include dedicated GPU servers and VPS options, with prices that start at $55 per month, so GPUs stay accessible for individuals and smaller businesses.
Strengths:
- Wide selection of GPUs: Offers over 20 NVIDIA models for various workloads.
- Low monthly cost: Plans start as low as $55/month, which makes it one of the most affordable options.
- Dedicated GPU servers and VPS options: Suitable for both individuals and businesses.
Challenges:
- Limited global infrastructure: Not as many data center locations compared to bigger providers.
- Potential performance variations: Cloud GPU options don’t match the power of dedicated GPUs.
- Fewer security and compliance features: Might not have the same level of security, compliance, or expert support as Liquid Web.
4. Hetzner
Hetzner is a German web hosting company known for its competitive prices. They have expanded their offerings to include GPU servers, such as the GEX131 with an RTX PRO 6000 Blackwell Max-Q (96 GB). These servers suit teams that train AI models, build 3D models, and run CAD applications.
Prices start at €1,499 per month, plus a setup fee equal to one month.
Strengths:
- Competitive pricing for dedicated GPU servers: Options like the GEX44 and GEX130 offer good value.
- Reliable European hosting: Strong presence in Germany and Finland with high-quality infrastructure.
Challenges:
- Limited data center locations: Primarily Europe-based, which may lead to latency issues for users in other regions.6
- Basic support options: Lower-tier support can be slow compared to premium hosting providers.
5. Leaseweb
Leaseweb rents configurable dedicated GPU servers built on HPE and Dell hardware. The lineup includes NVIDIA L4, L40S, and H100 NVL GPUs, available across its network in Europe, North America, and Asia Pacific. Each server includes AI frameworks such as PyTorch and TensorFlow, plus Hugging Face and NVIDIA NGC libraries.
Strengths:
- Global availability: Dedicated GPU servers in Europe, North America, and Asia Pacific.
- Configurable builds: Choose the GPU, CPU, and storage to fit the workload.
Challenges:
- Variable lead times: Delivery time depends on stock for the GPU model you choose.
6. OVHcloud
OVHcloud offers bare metal GPU dedicated servers designed for AI, graphics, and massively parallel workloads. They provide NVIDIA L4 and L40S configurations with up to 100 Gbps private network bandwidth.
Servers rent on monthly terms, and longer rental periods often come with discounted rates. Global data centers support low latency and high availability.
Strengths:
- Bare metal GPU performance: Dedicated NVIDIA L4 and L40S servers with no virtualization layer.
- Global data center presence: Low latency across multiple regions.
Challenges:
- Higher monthly price: Servers start at $1,145/month, plus a one-time installation fee.
- Complex setup: Requires more technical knowledge to configure and optimize compared to simpler dedicated GPU hosting solutions.
- Mixed customer support reviews: Some users report delays in response times and issue resolution.
Dedicated GPU servers vs. cloud GPU
The difference between dedicated GPU servers vs. cloud GPUs is based on the hardware. A dedicated GPU server gives one customer the whole machine, with its GPUs, CPU, memory, and storage. Bare metal GPU servers also remove the hypervisor, which gives you direct control of the hardware.
Cloud GPU instances run on shared infrastructure and bill by the hour, which suits short tests and bursty jobs. For workloads that run around the clock, a dedicated server often costs less than hourly cloud rates and delivers the same performance every day.
Compare cloud GPU vs. GPU bare metal in detail.
What GPU server hosting costs
GPU server hosting costs are based on flat monthly fees. To compare an hourly rate with a monthly plan, multiply the hourly rate by 730, the number of hours in an average month. At $1.07 per hour, an L4 server that runs all month costs about $781. Also compare data transfer, storage and backups, and setup fees.
How to choose a GPU server hosting provider
Choosing a GPU server hosting provider depends on your specific workload, budget, and infrastructure needs. If you train AI models, render graphics, or run high-performance applications, evaluate your options carefully to ensure you get the best value and performance.
Consider:
GPU performance and hardware
The type of GPU model offered is critical. Some providers offer high-end GPUs designed for deep learning and AI workloads, while others focus on mid-range or budget-friendly options for general GPU workloads. Check the GPU architecture, memory, and compute power to ensure it meets your needs.
Workload type
Teams that train or fine-tune large models need the most memory, and they should check the links between GPUs when a job spans more than one. For memory, the L4 (24GB) fits inference on smaller models, the L40S (48GB) fits mid-size models and graphics work, and the H100 NVL (94GB) fits large models and high-concurrency inference.
Reliability and uptime guarantees
Look for service-level agreements (SLAs) that guarantee high uptime and reliability. A provider with redundant systems, failover mechanisms, and strong network infrastructure can minimize downtime and ensure consistent performance.
Scalability
This may or may not be important, depending on how consistent your needs are. If you have known static workloads, the ability to quickly scale isn’t that important. If your GPU resource needs fluctuate a lot, however, you want a hosting provider that can adjust resources and prices on the fly.
Security and compliance
For businesses that handle sensitive data, security features such as DDoS protection, encryption, and compliance certifications (e.g., PCI, HIPAA) are essential. Ensure that the provider meets the necessary compliance requirements for your industry.
Getting started with GPU server hosting
If a dedicated GPU server is the best solution for your needs, you’re in the right place. Liquid Web has offered dedicated and bare metal server hosting services for almost three decades. Our team of experts has set up and maintained servers, and helped clients make the most of them, for a long time.
And we were one of the first to expand our bare metal server solutions with GPU chips. We use NVIDIA hardware, our server security processes meet PCI and HIPAA audit standards, and our support team is available 24/7/365 on multiple channels.
Click through below to explore your GPU bare metal server options or start a chat right now and get even more answers and guidance to help you decide.
Additional resources
What is a GPU? →
What is, how it works, common use cases, and more
What is GPU as a Service? →
What is GPUaaS and how does it compare to other GPU server models?
Cloud GPU vs GPU bare metal →
Core differences, how to choose, and more
Brooke Oates is a Product Manager at Liquid Web, specializing in Cloud VPS and Cloud Metal, with a successful history of IT/hosting and leadership experience. When she’s not perfecting servers, Brooke enjoys gaming and spending time with her kids.