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GPU → Bare Metal GPU vs Cloud GPU
Bare metal GPU vs cloud GPU: How to choose
TL;DR
A bare metal GPU is a dedicated physical server with one or more GPUs and no virtualization layer, so all of its hardware works for you alone. A cloud GPU is a virtualized GPU instance on a server shared with other tenants, usually billed by the hour.
Cloud GPU fits short tests and unpredictable demand. Bare metal GPU fits long training runs, production inference, and regulated data, where you need performance and cost you can predict.
GPU servers are accelerating development and process in so many industries, seemingly overnight. It wasn’t long ago that GPU were just for video and gaming graphics, but they quickly found a home advancing AI, combating cybercrime, bolstering medical imaging, and so much more.
More and more businesses and industries need GPU processing power to keep up, and the industry is developing solutions to get everyone what they need.
So where do you start? And how do you get a handle on all the options suddenly available?
The first step is understanding the difference between two of the most foundational solutions: bare metal GPU vs cloud GPU.
What is a bare metal GPU server?
A bare metal GPU server is a dedicated physical server that does not use a hypervisor/virtualization, and is equipped with one or more Graphics Processing Units (GPUs).
Any bare metal server provides the user with an entire machine, in contrast to shared hosting or VPS hosting arrangements, which divide the resources from a physical server among multiple users. The addition of a GPU chip, to accelerate parallel processing tasks, gets you a GPU bare metal server.
Key components:
- Bare metal server: A single-tenant, physical machine that offers direct access to hardware without virtualization overhead.
- GPU: Specialized hardware designed for parallel processing, commonly used for graphics rendering, machine learning, data analytics, and high-performance computing (HPC).
Features and benefits:
- Raw performance: Since resources aren’t shared, you can fully utilize the server’s CPU, RAM, storage, and GPU.
- High throughput for GPU workloads: Ideal for computationally intensive tasks like AI training, 3D rendering, video processing, and scientific simulations.
- Customization: You can configure the server to meet specific workload requirements, such as selecting GPU optimized for your application.
- Scalability: Many providers allow you to scale horizontally (add more servers) or vertically (upgrade existing hardware).
Use cases:
- AI and machine learning: Accelerating deep learning models and handling large datasets.
- AI inference: Serving chatbots, recommendation engines, and AI search around the clock, where response time shapes the user experience.
- Cybersecurity: Scaling threat detection and analysis, and training ML models to respond to threats and evolve strategies.
- Gaming: Running dedicated servers that demand high graphical performance.
- Medical imaging: Efficiently processing medical imaging data while enabling scalable operations for healthcare organizations
- Scientific computing: Performing simulations and calculations that require significant processing power.
- Video processing: Encoding, transcoding, and rendering high-definition videos.
What is GPU bare metal hosting?
Bare metal hosting allows users to access GPU bare metal servers that are professionally secured and maintained in an off-site location, rather than purchasing and maintaining a physical bare metal server on-premises. In a GPU bare metal hosting arrangement, a hosting provider builds, houses, and maintains the GPU bare metal server on behalf of the client renting it.
GPU bare metal server hosting allows more businesses and organizations to access GPU bare metal servers. Maintaining a physical machine on-premises requires a secure, climate-controlled space as well as in-house server IT professionals. Offloading the maintenance of the machine in a server hosting relationship, makes GPU bare metal servers more accessible.
What is cloud GPU hosting?
Cloud GPU, or cloud GPU hosting, is fractional GPU hosting based on virtualization. Cloud GPU hosting uses a hypervisor to divide a physical GPU server into multiple, virtual GPU machines.
Cloud GPU hosting allows providers to offer GPU server resources at lower prices, since multiple users are splitting one physical machine. Each user gets a small, dedicated GPU server, but those resources are not as isolated as they are in a GPU bare metal server arrangement.
Some cloud GPU instances give you a whole GPU card, but the host’s CPU cores, network interface, storage, and PCIe lanes are still shared with other tenants. Billing is usually by the hour or second, with storage and data egress (moving data out) charged separately.
Bare metal GPU vs cloud GPU
The main difference between a cloud GPU and GPU server hosting is the scope of resources available to the user and the isolation of those resources. Let’s look at what that means for some practical specifics:
| Feature | Bare metal GPU | Cloud GPU |
|---|---|---|
| Access and control | Full root access, with your choice of GPU model, drivers, and CUDA version | Preset instance types, with the provider managing the host |
| Performance | Consistent, with no hypervisor or other tenants | Can vary with shared network, storage, and host load |
| Cost | Flat monthly rate, lower total cost for steady use | Hourly billing, lower cost for short or occasional use, egress billed extra |
| Best for | Long training runs, production inference, regulated data | Testing, short jobs, unpredictable demand |
| Security and compliance | Single tenant, with a clear audit boundary | Multi-tenant, with responsibility shared between you and the provider |
Control
A good cloud GPU host will allow root access to the GPU server. Still, there’s a greater level of control available with a bare metal GPU, since there are no other users on your machine.
On bare metal, you also choose the exact GPU model, install and pin NVIDIA drivers and CUDA versions on your own schedule, and tune storage and memory placement around your workload. With cloud GPU, you pick from the provider’s preset instance types and work within its software stack.
Cost
Cloud GPU wins for upfront cost, of course, since you’re only renting a portion of a GPU machine, you pay less than if you were reserving an entire physical server.
That changes as usage grows, because hourly billing adds up when a GPU runs around the clock. At an illustrative rate of $4 per GPU hour, one GPU running 24/7 for 30 days costs $2,880 (before storage, snapshots, and egress fees for moving data and model checkpoints out). A bare metal GPU server rents at a flat monthly rate, so your cost stays the same as utilization climbs. Once a GPU is busy most of the day, every day, a dedicated server usually costs less.
Performance
Bare metal GPU servers generally offer better, more reliable performance, since you have an entire physical machine all to yourself. In a cloud GPU arrangement, performance of your virtual server could be impacted by usage of other cloud GPU with which you share a physical machine.
The difference shows up most in tail latency, the occasional slow response. A hypervisor and shared network and storage paths add small, unpredictable delays. Those delays can be an issue in production inference, where users notice slow responses, and in multi-GPU training, where GPUs exchange data constantly.
Security and compliance
A good hosting provider will take extensive measures to ensure the security of a cloud GPU, but a completely isolated machine, as in a bare metal GPU, is easier to secure because there are no other users on that server.
Single-tenant hardware also simplifies compliance. For workloads covered by HIPAA, PCI DSS, SOC 2, or GDPR, a bare metal GPU server gives you a clear boundary: you know which physical machine holds your data, where it is, and who can access it. That makes audits easier to document and data residency easier to prove.
Operational effort
Cloud GPU is faster to start. You provision an instance in minutes and shut it down when the job ends. Bare metal takes more planning up front, including capacity sizing and setup time, and a server you aren’t using still costs money. A managed hosting provider can take on hardware maintenance, monitoring, and patching, so your team keeps root access without having to run the server day to day.
How to choose between a bare metal GPU and cloud GPU
In general, cloud GPU is a good solution for short-term projects or testing, or for teams that only occasionally need GPU resources. GPU server hosting is a better solution for organizations that have a steady, long-term need for the compute power of a GPU server.
Consider:
- GPU server needs six to 12 months from now: If your need for GPU resources are going to scale in the near future, it’s probably best to invest in a dedicated GPU server from the start. Virtualized servers can scale, but they can also scale past the investment of a dedicated server if you don’t pay attention.
- Security and compliance needs: Medical organizations and ecommerce brands have a greater need for security in order to keep patient and customer data private, and to meet compliance requirements. If your standards are high, you might need a GPU server.
- Performance requirements: A minor performance blip is not tragic in every industry. Will it mess up a gaming server for a minute? Yes, but it won’t crash the gaming industry. If you have a higher tolerance for possible performance gaps, you probably don’t need to invest in a whole GPU server.
- Job length: Training runs that last more than 72 hours favor bare metal. Long jobs on hourly cloud instances risk interruption, and a lost checkpoint can set a project back by days. Short tests and batch jobs of a few hours fit cloud GPU well.
If your GPU needs are smaller or inconsistent, if your budget is lower, and if security doesn’t need to be air-tight, a cloud GPU is a good fit.
If your GPU needs are the bulk of your business and/or growing, if you need to invest in serious compute power, and if security and performance are paramount, it’s time for a bare metal GPU.
Many teams use a hybrid setup: bare metal GPU servers for steady production work, with cloud GPU for occasional bursts or experiments.
How to choose a GPU hosting provider
GPU servers are relatively new in the industry, so make sure you’re working with a reputable hosting provider. Look for:
Hardware: Make sure the GPU server you’re renting uses top-quality GPU chips from either NVIDIA or AMD. Ask which models are available, how much GPU memory each has, and how GPUs connect to each other in multi-GPU servers.
History: GPU are newer, but servers aren’t. Some new brands have sprung up to offer GPU server hosting, but you want to work with a team that has at least a decade of experience with servers and server management..
Options: A good hosting provider will offer a curated variety of any server option, and GPU are no different.
Bandwidth: Ask whether bandwidth is metered and how egress is priced. For data-heavy AI work, transfer fees can add a large, unplanned amount to your monthly bill.
Security: What is the hosting provider doing to ensure security? Ask about data center security, DDoS protection, and your dedicated IP address. (You should get one with your server.)
Support: Support levels vary among bare metal hosting providers, since many customers manage their own servers. Most bare metal hosting providers offer less support, because customers don’t need it. But those providers should still have documentation and a 24/7 support team available. Cloud GPU providers should offer even more hands-on support.
Uptime guarantees: Check service level agreements and ensure that the provider you work with can guarantee at least 99.99% uptime.
Getting started with GPU servers
The first decision is whether a cloud GPU will be enough or if you need a bare metal GPU server. Start by outlining what you need the GPU server for today and how much you expect to be using it in six to twelve months.
If you decide that GPU bare metal server hosting is your best solution, you’re in the right place. Liquid Web has been offering dedicated server hosting services for almost three decades. Our team of experts has been setting up and maintaining servers, and helping 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 to optimize performance; our infrastructure is monitored, patched, and audited; and our support team is always available 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.
Bare metal GPU vs cloud GPU FAQs
On the same GPU model, bare metal avoids hypervisor overhead and shared network and storage paths, so performance is higher and steadier, especially under heavy load and in multi-GPU jobs. For short, light jobs, the difference may be small.
It depends on how much you use it. For GPUs that run most of the day, every day, a flat monthly bare metal rate usually costs less than hourly cloud billing plus egress. For occasional or short jobs, cloud GPU usually costs less.
Common triggers include a workload moving from testing into production, GPU bills that are hard to forecast, training runs that stretch past a few days, and compliance rules that require dedicated hardware.
Long training runs and steady production inference favor bare metal GPUs. Short experiments and inference with spiky, unpredictable demand favor cloud GPUs, since you can add and remove instances as traffic changes.
Not necessarily. With a self-managed server, your team handles the operating system, drivers, and monitoring. With a managed server, the hosting provider handles hardware, patching, and monitoring while you keep control of your software stack.
Additional resources
What is a GPU? →
What is, how it works, common use cases, and more
What is GPU memory? →
Why it’s important, how it works, what to consider, and more
GPU vs CPU →
What are the core differences? How do they work together? Which do you need?
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.