New Year savings are here! Save up to 50% on hosting you can count on

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GPU hosting: New Year savings

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

Unlock unparalleled performance with Liquid Web’s leading-edge GPU hosting services and convenient AI/ML software stack.

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30% off

NVIDIA L4 Ada 24GB

The L4 is anything but entry-level—built for power and performance

$0.95/hr

$1.35/hr Save 30%

Build now

Self-managed

(x2) AMD EPYC 9124

32 cores / 64 threads @ 3.0 GHz (Turbo 3.7 Ghz)

128 GB DDR5 memory

1.92 TB NVMe RAID-1

∞ In / 10 TB Out bandwidth

Windows & Linux Available

Liquid Web GPU stack available

30% off

NVIDIA L40S Ada 48GB

Kickstart your platform with the power of high-performance Nvidia GPUs

$1.70/hr

$2.42/hr Save 30%

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Self-managed

(x2) AMD EPYC 9124

32 cores / 64 threads @ 3.0 GHz (Turbo 3.7 Ghz)

256 GB DDR5 memory

3.84 TB NVMe RAID-1

∞ In / 10 TB Out bandwidth

Windows & Linux Available

Liquid Web GPU stack available

Best value

30% off

NVIDIA H100 NVL 94GB

Accelerate AI model training quickly and efficiently with this top-tier solution

$4.06/hr

$5.80/hr Save 30%

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Self-managed

(x2) AMD EPYC 9254

48 cores / 96 threads @ 2.9 GHz (Turbo 4.2 Ghz)

256 GB DDR5 memory

3.84 TB NVMe RAID-1

∞ In / 10 TB Out bandwidth

Windows & Linux Available

Liquid Web GPU stack available

30% off

(x2) NVIDIA H100 NVL 94GB

The pinnacle of high-performance GPUs, built for your most demanding tasks

$6.94/hr

$9.91/hr Save 30%

Build now

Self-managed

(x2) AMD EPYC 9254

48 cores / 96 threads @ 2.9 GHz (Turbo 4.2 Ghz)

768 GB DDR5 memory

7.68 TB NVMe RAID-1

∞ In / 10 TB Out

Windows & Linux Available

Liquid Web GPU stack available

10/25G networking
NVMe gen 4
Container-ready

Optimized hardware for peak performance

CPU and GPU synergy minimizes latency, and optimized memory management ensures faster processing times.

PCI- and SOC-compliant, HIPAA-audited

Strict compliance and audit standards safeguard AI workloads for big tech and medical industries.

Custom configurations available

Chat with our solutions architects to build out your custom GPU powered platform.

Pre-configured for leading AI/ML frameworks

Our stack is pre-configured to support popular AI/ML frameworks such as TensorFlow and PyTorch. 

NVIDIA GPU features and integrations

The Liquid Web GPU stack is designed with a comprehensive set of tools, pre-configured frameworks, and seamless containerization support for those looking to deploy and scale AI initiatives efficiently.

NVIDIA GPU drivers and CUDA toolkit

Take full advantage of your hardware’s capabilities.

The latest NVIDIA drivers ensure GPUs are optimized for AI/ML tasks. 

The addition of the NVIDIA CUDA Toolkit, provides a comprehensive environment for developing and deploying GPU-accelerated applications.

NVIDIA cuDNN

Accelerate model development and deployment.

NVIDIA cuDNN is directly integrated to support deep learning tasks. 

This GPU- accelerated library delivers highly optimized routines for neural network training and inference.

Docker with NVIDIA container toolkit

Ensure consistency and reliability across different environments.

Liquid Web’s custom GPU stack includes Docker with the NVIDIA Container Toolkit, allowing users to effortlessly deploy GPU- accelerated containers.

NVIDIA NGC Integration

Accelerate AI/ML projects from start to finish.

With NVIDIA NGC integrated, you gain direct access to a wide range of pre-trained models, SDKs, and optimized frameworks. 

This integration provides the tools and resources needed to get started quickly.

Features available 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.

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.

Engage

Contact our sales team today to discover your perfect hosting solution

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GPU server hosting use cases

Designed for efficiency and performance, our GPUs deliver lightning-fast hash rates and exceptional processing power, optimizing workloads while minimizing energy usage.

AI and machine learning

Train deep learning models, deploy real-time AI/ML services, and self-host pre-trained LLM models.

Healthcare and medical imaging

Medical diagnostics, image analysis, healthcare analytics, and drug discovery simulations

Data and analytics

Big data processing and real-time analytics using GPU-optimized data frameworks

Cloud gaming and media

Real-time content streaming, video, and graphics rendering and video encoding/transcoding

High-performance computing

Scientific research, climate modeling, genomics, engineering simulations, and computational fluid dynamics

Spectrum of products and services

Combine Liquid Web cloud VPS, bare metal cloud or bare metal servers along with our GPU line-up to create the ideal platform for your next AI/ML driven product or service.
From $1.18/hr

Expert guidance for GPU servers

Not sure where to start? Connect with a Liquid Web expert to get tailored advice or personalized guidance on the best GPU hosting solution for your application.

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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.
  • 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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