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Head-to-head · GPU Server Hosting

Liquid Web GPU Hosting vs phoenixNAP GPU Servers

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side

Liquid Web GPU Hosting leads on 0 checks, phoenixNAP GPU Servers on 1, and 2 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreLiquid Web GPU Hosting · 8.6/10

Liquid Web GPU Hosting scores higher on our rubric for gpu server hosting: 8.6 against 8.5 out of 10; our editors rank them #7 and #8.

phoenixNAP GPU Servers leads on gpu memory: 48 GB versus 24 GB.

Liquid Web GPU Hosting is the better fit for organizations needing current high-end NVIDIA GPUs. phoenixNAP GPU Servers is the better fit for teams needing powerful API-managed GPU servers.

  • Liquid Web GPU Hosting fits best

    Organizations needing current high-end NVIDIA GPUs

  • phoenixNAP GPU Servers fits best

    Teams needing powerful API-managed GPU servers

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Side by side

Feature Liquid Web GPU Hosting 8.6/10 Visit ↗ phoenixNAP GPU Servers 8.5/10 Visit ↗
At a glance
Editor score 8.6 8.5
Ranking #7 in GPU Server Hosting #8 in GPU Server Hosting
Best for Organizations needing current high-end NVIDIA GPUs Teams needing powerful API-managed GPU servers
Pricing model Paid Paid
Starting price — —
Free plan — —
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web, Linux, Windows Web
Support Live chat, Tickets, Docs · 24/7 Email, Phone, Live chat · 24/7
Compliance GDPR, HIPAA, PCI DSS GDPR
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Specs
GPU count 2 GPUs 2 GPUs
GPU memory 24 GB 48 GB (best)
System RAM 128 GB Not checked yet
Storage included 1.92 TB Not checked yet
GPU interconnect Not checked yet Custom
Billing term Hourly Hourly
Our review
Pros
  • Dedicated, non-virtualized L4, L40S, H100 NVL, and H200 NVL servers
  • Root or administrative access with automated provisioning
  • Pre-installed PyTorch and TensorFlow with Linux and Windows access
  • Dual Intel Max 1100 GPUs with 48 GB HBM2E per GPU
  • Intel Xe Link interconnect and dedicated bare-metal resources
  • API, CLI, WebUI, Terraform, Ansible, and Pulumi provisioning
Cons
  • No free plan is available
  • Hourly billing may be less suitable for fixed monthly budgets
  • Configuration breadth can require careful hardware selection
  • Paid service with no free plan
  • GPU configurations center on Intel Max 1100 hardware
  • Dedicated bare-metal infrastructure may exceed smaller workload needs
Our verdict

Liquid Web GPU Hosting provides dedicated, single-tenant bare-metal servers for AI model training, machine learning, high-performance computing, analytics, rendering, and related workloads. It is aimed at organizations that need current…

Read the review →

phoenixNAP GPU Servers provide dedicated Bare Metal Cloud infrastructure for AI training, inference, natural language processing, analytics, and high-performance computing. The current offering pairs two Intel Max 1100 GPUs with 48 GB of…

Read the review →
  1. Liquid Web GPU HostingGPU Server Hosting 8.6Paid
  2. phoenixNAP GPU ServersGPU Server Hosting 8.5Paid

Strengths and trade-offs

  • Liquid Web GPU Hosting — where it wins

    • Dedicated, non-virtualized L4, L40S, H100 NVL, and H200 NVL servers
    • Root or administrative access with automated provisioning
    • Pre-installed PyTorch and TensorFlow with Linux and Windows access

    Where it doesn't

    • No free plan is available
    • Hourly billing may be less suitable for fixed monthly budgets
    • Configuration breadth can require careful hardware selection
  • phoenixNAP GPU Servers — where it wins

    • Dual Intel Max 1100 GPUs with 48 GB HBM2E per GPU
    • Intel Xe Link interconnect and dedicated bare-metal resources
    • API, CLI, WebUI, Terraform, Ansible, and Pulumi provisioning

    Where it doesn't

    • Paid service with no free plan
    • GPU configurations center on Intel Max 1100 hardware
    • Dedicated bare-metal infrastructure may exceed smaller workload needs

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update