AI server hosting for scalable training
& high-speed inference

Configure the ideal setup for training or inference, or get guidance from our experts.

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Award-winning hosting for AI training servers

“With expert support and remote management options, Liquid Web offers flexible, reliable GPU hosting designed to meet the needs of businesses handling complex, high-performance tasks.”

Unite.AI

Why organizations use Liquid Web for AI server hosting

Our AI training servers provide dedicated environments designed specifically for training large models, running high-volume inference, and supporting production AI applications with confidence.

Purpose-built for AI training workloads

Run complex models, including LLMs, NLP, computer vision, and deep learning, at full speed with dedicated NVIDIA GPUs.

Optimized infrastructure for real-time inference

Deploy fast, reliable inference pipelines without delays or resource contention.

Scalable compute that evolves with your AI roadmap

Expand GPU capacity, upgrade hardware, or build multi-server architectures as your models grow.

Recommended AI training server solutions

Below are the most common GPU configurations for training and inference. All are fully dedicated, single-tenant servers with 100% of compute available to you.

L4 Ada 24GB (ideal for lightweight AI training and inference)

Starting at $0.95/hr (30% off)

  • (x2) EPYC 9124
  • 32 cores / 64 threads
  • 128 GB DDR5
  • 1.92 TB NVMe RAID-1
  • ∞ In / 10 TB Out bandwidth
L40S Ada 48GB (balanced for larger models and production inference)

Starting at $1.70/hr (30% off)

  • (x2) EPYC 9124
  • 32 cores / 64 threads
  • 256 GB DDR5
  • 3.84 TB NVMe RAID-1
  • ∞ In / 10 TB Out bandwidth
H100 NVL 94GB (enterprise-grade for large-scale model training)

Starting at $4.06/hr (30% off)

  • (x2) EPYC 9124
  • 48 cores / 96 threads
  • 256 GB DDR5
  • 3.84 TB NVMe RAID-1
  • ∞ In / 10 TB Out bandwidth
(x2) H100 NVL 94GB (extreme performance for LLMs and multimodal AI)

Starting at $6.94/hr (30% off)

  • (x2) EPYC 9254
  • 48 cores / 96 threads
  • 768 GB DDR5
  • 7.68 TB NVMe RAID-1
  • ∞ In / 10 TB Out bandwidth

Need a specialized configuration or multi-GPU cluster?

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What you can do with AI training & inference hosting

Build and deploy next-generation AI systems enterprise-grade NVIDIA GPUs, powerful CPUs, and automated provisioning.

Train large AI and deep learning models at full GPU power

Achieve faster time-to-train with enterprise-grade NVIDIA GPUs engineered for parallel processing.

Why Liquid Web: Dedicated servers eliminate virtualization overhead, giving you 100% of the GPU, critical for training LLMs, diffusion models, and advanced neural networks.

Run real-time inference for production applications

Support recommendation engines, prediction models, chatbots, and computer vision systems at scale

Why Liquid Web: Single-tenant hardware guarantees consistent throughput and low latency for high-volume inference.

Build and deploy models across ML frameworks with zero setup

Work with PyTorch, TensorFlow, CUDA, and other frameworks immediately.

Why Liquid Web: Pre-installed frameworks and automated provisioning reduce setup time and accelerate development.

Move massive datasets quickly and securely

AI workloads often require extensive data movement across training cycles.

Why Liquid Web: High-bandwidth connections and NVMe storage ensure fast ingest, preprocessing, and checkpointing.

Scale compute resources as your models evolve

Support growing datasets, expanding model sizes, and shifting architectural needs.

Why Liquid Web: Flexible AI server options, GPU upgrades, and multi-server deployments support long-term AI platforms.

Protect sensitive AI training data

Maintain security for confidential datasets, proprietary models, and regulated AI workloads.

Why Liquid Web: Fully isolated environments align with standards like PCI-DSS, HIPAA, and GDPR.

Related AI training products

GPU hosting

Our GPU hosting solutions have powerful single-tenant servers ideal for model training, inference, and data-intensive workloads.

Cloud servers

Get flexible compute resources for preprocessing, microservices, and hybrid AI pipelines in our cloud servers.

Private cloud

Our private clouds provide isolated environments designed for secure or compliance-driven AI initiatives.

AI server hosting FAQ

An AI training server is a dedicated machine equipped with GPUs and optimized hardware for training machine learning and deep learning models at scale.

Liquid Web provides fully dedicated GPUs for AI with no virtualization layer. You get root access, consistent performance, and pre-installed AI frameworks so you can deploy immediately.

Training builds the model using large datasets and requires maximum GPU power. Inference uses the trained model to generate predictions or outputs in real time. Both require fast, reliable compute, just in different ways.

Yes. H100 NVL and multi-GPU configurations support LLM training, fine-tuning, and high-speed inference.

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