GPU hosting: Cyber Week deals

Train AI models faster: save up to 30% on hosting

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Train large models fast with 100% of your server’s resources—no virtualization overhead like you’d get with cloud-based or fractional GPU servers.

Experience consistent, high-performance, and secure compute on a single-tenant server—free from the bottlenecks and risks of shared infrastructure.

Tackle complex workloads on servers with powerful CPUs and GPUs—GPUs handle data analysis while CPUs manage computational tasks efficiently.

Powerful and cost-effective GPUs

Available OS:
BEST FOR LIGHT WORKLOADS
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L4 Ada 24GB
$1.35/hr 30% off
$0.95/hr
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(x2) EPYC 9124

  • 32 cores / 64 threads @ 3.0 GHz (Turbo 3.7 Ghz)
  • 128 GB DDR5
  • 1.92 TB NVMe RAID-1
  • ∞ In / 10 TB Out bandwidth
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L40S Ada 48GB
$2.42/hr 30% off
$1.70/hr
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(x2) EPYC 9124

  • 32 cores / 64 threads @ 3.0 GHz (Turbo 3.7 Ghz)
  • 256 GB DDR5
  • 3.84 TB NVMe RAID-1
  • ∞ In / 10 TB Out bandwidth
BEST FOR HEAVY WORKLOADS
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H100 NVL 94GB
$5.80/hr 30% off
$4.06/hr
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(x2) EPYC 9124

  • 48 cores / 96 threads @ 2.9 GHz (Turbo 4.2 Ghz)
  • 256 GB DDR5
  • 3.84 TB NVMe RAID-1
  • ∞ In / 10 TB Out bandwidth
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(x2) H100 NVL 94GB
$9.91/hr 30% off
$6.94/hr
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(x2) EPYC 9254

  • 48 cores / 96 threads @ 2.9 GHz (Turbo 4.2 Ghz)
  • 768 GB DDR5
  • 7.68 TB NVMe RAID-1
  • ∞ In / 10 TB Out bandwidth

Build smarter, faster, and at scale

Complex ML/DL workloads

Train your most demanding models without compromise. With the latest NVIDIA GPUs and high-performance CPUs, our servers are purpose-built to handle heavy ML and DL workloads—from NLP and image recognition to autonomous systems. Scale confidently as your projects evolve.

Consistent, secure performance

Avoid resource contention and security risks with single-tenant servers. You can train with confidence, knowing your compute and data stay fully in your control—every time.

Maximum GPU power

Stop losing performance to fractional GPUs. Our dedicated servers give you full, uninterrupted GPU access—essential for training complex models fast and accurately.

Ready-to-use AI tools and frameworks

Start building immediately with pre-installed, high-performance AI frameworks. Whether you work in TensorFlow, PyTorch, or another leading tool, everything’s ready for you—no setup required.

Seamless deployment for fast results

Deploy in minutes, not hours. Our on-demand automated provisioning gets your server ready for access in as little as 15 minutes, so you can move straight from idea to execution.

Let our experts help you get your projects up and running without delay.

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BETTER THAN CLOUD AND FRACTIONAL

The platform built for uncompromising speed and security

Training AI models at scale demands more than just raw power—it takes a platform that can move massive datasets fast, deliver consistently high performance, and keep your workloads secure. That’s exactly what we’ve built. Here’s how we help you stay ahead of the curve.

Fully dedicated, single-tenant GPU servers

With our fully dedicated, single-tenant GPU servers, you get 100% of the resources—zero interference, no neighbors, and total control. That means maximum speed and compliance with security standards like PCI-DSS, GDPR, and HIPAA.

Shared GPUs can slow you down. Fractional GPU servers lose 5–15% of performance, and cloud GPUs up to 25%—not to mention added security risks from shared environments.

Optimized for powerful AI processing

You can combine dedicated GPU and CPU hosting with Liquid Web to build a high-performance platform tailored to your needs.

AI workloads demand the kind of parallel processing that traditional CPUs can’t deliver. GPUs—designed for handling large datasets at speed—are the core of any serious ML/DL operation.

Enterprise-grade GPU processors

We only use enterprise-grade NVIDIA GPUs, designed specifically for high-performance AI workloads—so your models train faster, run more reliably, and deliver the results you’re aiming for.

Consumer-grade GPUs might cut it for gaming, but not for your AI models. They’re not built for the kind of compute-heavy lifting machine learning and deep learning require.

Scalable and flexible solutions

We offer flexible GPU and CPU hosting—customizable for today’s training and inference tasks, and easy to scale as your needs grow.

Rigid infrastructure slows down evolving AI projects. What works for one model might choke on the next. You need compute that adapts as fast as your workloads do.

Key features included with
every GPU-enabled bare metal server

Scalability

We offer a range of prescribed SKUs to meet your organization’s current needs—and then grow with you.

Server access

Every managed dedicated server provides root or administrative access, granting you full control over server configurations, software installations, and system settings.

No virtualization layer

Remote management tools—SSH for Linux servers or remote desktop access for Windows servers—enable you to oversee your server from anywhere with internet connectivity.

Storage disks and cards

Pre-configured servers come standard with business-grade SSDs, and you can choose to run one or two GPUs.

Remote management tools

Remote management tools, such as SSH for Linux servers, are included, enabling you to manage your server from anywhere with an internet connection.

Physical environment

We take every factor into account that affects a dedicated server—cooling, airflow, power, rack placement, and hardware—ensuring smooth operation so you don’t have to worry.

DDoS protection

Standard DDoS protection is provided, shielding your server from malicious attacks designed to disrupt service.

IP address

A dedicated IP address boosts your server’s security by isolating it from other users, giving you full control over access, and simplifying the implementation of custom security measures. This separation allows for enhanced protection and easier management of security protocols.

Data center security

Your server is housed in a top-tier, highly secure data center with access restricted to authorized personnel only, ensuring the safety of your data and the protection of your online operations.

Your ideas move fast—so should your hosting.

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0hr Downtime since switching to Liquid Web

Customer success story

“Liquid Web’s uptime is unparalleled, ensuring our clients’ websites are always accessible and running smoothly.”

Shane Pearlman CEO, Modern Tribe

Let our experts help you get your projects up and running without delay.

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GPU hosting FAQ

A graphics processing unit (GPU) is a specialized circuit designed to process and manipulate computer graphics and image data in parallel. The GPU offloads these tasks from the central processing unit (CPU), allowing the CPU to handle more generic computational workloads. Learn more about GPUs →

GPU hosting is a type of cloud computing service that provides access to servers equipped with graphics processing units (GPUs). These services are designed to handle tasks that require significant computational power.

Users subscribe to GPU resources or rent them on a pay-as-you-go basis. This allows them to scale resources without investing in hardware.

GPU hosting offers many benefits for users who need advanced processing power, but don’t have the time or resources to acquire, house, manage, and maintain sophisticated servers. 

GPUs provide the speed and capabilities necessary for deep learning, AI, machine learning, gaming and graphics, and much more. Partnering with a hosting provider gives users access to those advanced computational resources at a fraction of the cost.

Some websites and providers claim to offer cheap GPU hosting services, but the risks associated with very low-investment hosting can end up costing you more. 

Cheap GPU hosting services often lack the bandwidth, scalability, and security of more professional hosting companies. They also rarely offer much support, so if something does go wrong, you’re on your own. Additionally, cheap or free hosting generally experience slower processing and more down time, which can be costly for your business.

A CPU is the brain of a computer. They are general-purpose processors capable of efficiently performing various tasks, and they excel at tasks requiring single-thread performance.

GPUs contain thousands of smaller, simpler cores designed for parallel processing. This architecture allows GPUs to handle multiple tasks simultaneously, making them extremely efficient for operations that can be performed in parallel.

“GPUs vs. CPUs” is not about which is better, but which is suited for any specific task. In AI, GPUs dominate due to their superior parallel processing functionality, making them excellent for training deep learning models. Conversely, CPUs remain the backbone of web hosting platforms, providing the versatility and single-thread performance needed to handle diverse and dynamic workloads.

Learn more about GPUs vs CPUs →

There are several considerations to keep in mind as you compare GPU hosting providers, including:

  • Hardware options: Learn about different types of GPUs (NVIDIA, AMD) and their compatibility with your requirements.
  • Performance: Look for hosts with uptime guarantees of 99.9% or more.
  • Scalability: Ask each provider how easily you can scale solutions as your business grows.
  • Value: Look beyond the monthly cost and compare setup fees, additional costs for GPU resources, and any other hidden fees.
  • Integrations: Look for hosts with APIs and other integrations to support automated workflows.

If you’re still not sure, chat with a GPU hosting expert today.

In the world of AI, machine learning, data analytics, and complex rendering, businesses demand maximum performance and efficiency from their GPU infrastructure. While virtualization technologies, such as NVIDIA’s Multi-Instance GPU (MIG), offer flexibility by partitioning GPU resources, bare metal GPU solutions stand out as the optimal choice for high-performance and latency-sensitive workloads.

NVIDIA L4NVIDIA L4 OSNVIDIA H100
Bare Metal (Liquid Web)100% Performance⚡100% Performance⚡100% Performance⚡
MIG (Digital Ocean)80-90% performance80-90% performance80-95% performance
GRID (Vultr)75-80% performance75-80% performance80-85% performance
*Comparison chart of GPU hosting solutions.

  • AI and Machine Learning: Accelerate training and inference of deep learning models, deploy real-time AI services, and host pre-trained large language models.
  • Data Analytics: Speed up big data processing and real-time analytics using GPU-optimized frameworks. 
  • Content Creators: Handle large-scale rendering and video editing tasks efficiently.
  • Data Scientists: Perform big data analytics, simulations, and complex mathematical rigor with ease.
  • Game Developers: Speed up development times with enhanced graphics rendering on a dedicated gaming server.
  • Healthcare & Medical Imaging: Enhance diagnostics, image analysis, and simulations requiring high computational power.
  • High-Performance Computing: Support scientific research, climate modeling, genomics, and complex engineering simulations.

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