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HOSTKEY

Active

Dedicated GPU & bare metal servers with global data center locations

hostkey.com · Founded 2008 · Amsterdam, Netherlands · Verified: 2026-03-26
4.75
Overall
4
Ease of Use
2
Pricing
9
GPU Variety
4
Enterprise

GPU Pricing

GPU ModelVRAMSpot $/hrOn-demand $/hrTrendAvailable
NVIDIA RTX 409024GB$0.54 In Stock
NVIDIA H100 SXM80GB$2.24 In Stock
NVIDIA A100 SXM80GB$1.23 In Stock
NVIDIA L40S48GB$1.23 In Stock
RTX A600048GB$1.23 In Stock
NVIDIA A400016GB$0.28 In Stock
NVIDIA A500024GB$0.36 In Stock
NVIDIA RTX 309024GB$0.43 In Stock
AMD Radeon RX 7950 XTX24GB$0.51 In Stock
NVIDIA RTX 308010GB$0.32 In Stock
AMD Radeon Pro W680032GB$0.47 In Stock
NVIDIA Tesla T416GB$0.66 In Stock
T100 110GB$1.6 In Stock
RX 5090$1 Unavailable
Tesla V10032GB$1.25 In Stock
NVIDIA RTX 408016GB$1.98 In Stock
AMD Radeon Pro R9700 (32 GB)48GB$0.51 In Stock
AMD EPYC 9354$0.28 In Stock
AMD Ryzen Server$0.18 In Stock
AMD EPYC Gen 4$0.05 In Stock
AMD EPYC 9554$0.18 In Stock
AMD EPYC 7552$0.26 In Stock
AMD AI Pro R700$0.47 In Stock
AMD Ryzen AI R9700$0.47 In Stock
RTX 30708GB$0.39 In Stock
RTX 2080 Ti11GB$0.26 In Stock
AMD EPYC Servers with up to 4.6TB RAM In Stock
1080Ti 11GB11GB$0.14$0.82 Unavailable
AMD Radeon AI Pro R9700 (32 GB)32GB$0.51 In Stock
NVIDIA A100 40GB40GB$1.77 In Stock
H10080GB$0.84 In Stock
AMD Ryzen 7950X$0.19$0.19 In Stock
4th Gen AMD EPYC$0.35 In Stock
NVIDIA L4048GB$0.35 In Stock
AMD Radeon Pro R9700$0.51 In Stock
NVIDIA RTX 509032GB$1.64 In Stock
RTX 500032GB In Stock
AMD EPYC 4th Gen In Stock

Features

Api
Docker
Jupyter
Kubernetes
Multi Gpu
Persistent Storage
Reserved Instances
Soc2 Compliant
Spot Instances

Billing & Payment

Billing Granularity

Per-Month

Payment Methods

Credit-Card, Bank-Transfer, Crypto

HOSTKEY

HOSTKEY has been in the dedicated server business since 2008 — long before “GPU cloud” became a marketing category. Based in Amsterdam, the company offers bare metal and dedicated GPU servers across multiple global data center locations. If you’re looking for raw, unvirtualized GPU hardware at highly competitive rates, HOSTKEY is worth a serious look. Just don’t expect the polished cloud-console experience you’d get from AWS or even a newer GPU-focused startup.

This is infrastructure for people who know what they’re doing. You’re renting physical hardware, not spinning up VMs in a web dashboard. That distinction shapes everything about the HOSTKEY experience — from the setup process to the billing model.

Why HOSTKEY stands out

HOSTKEY sits at the budget end of the dedicated GPU market. Monthly billing on bare metal means you’re getting hardware at its most economical — no hypervisor overhead, no shared-tenancy tax, and none of the per-second billing premiums that cloud providers charge for convenience. For teams running sustained, long-running training workloads or inference services that need consistent performance month over month, this model can represent significant savings over comparable cloud instances.

The support for multi-GPU configurations and persistent storage makes it viable for serious ML infrastructure, and the acceptance of crypto payments is a small but notable perk for teams with specific procurement constraints.

Pros

  • Among the most competitively priced GPU hardware available
  • Bare metal means no virtualization overhead — full GPU performance
  • Multi-GPU configurations supported
  • Persistent storage included
  • Reserved instances for predictable long-term costs
  • Established provider with 15+ years of hosting experience
  • Flexible payment options including crypto and bank transfer
  • Docker supported for containerized workloads

Cons

  • No programmatic API — provisioning is manual, not scriptable
  • No Jupyter environment — you bring your own tooling
  • No Kubernetes support out of the box
  • Per-month billing only — no hourly or spot options for experimentation
  • Ease of use is low; expect meaningful setup time
  • Not SOC 2 compliant — may be a blocker for regulated industries
  • Currently in beta status on our directory — pricing data is still being verified

Getting started

  1. Visit HOSTKEY's GPU server page and browse available dedicated GPU configurations
  2. Select a server spec that matches your GPU and RAM requirements — pay attention to the data center location for latency
  3. Choose a reservation term; longer commitments typically unlock better rates
  4. Complete provisioning via their sales or self-service portal — expect a manual handoff rather than instant spin-up
  5. Once your server is live, SSH in and configure your Docker environment, drivers, and CUDA stack to your requirements

Best for: ML engineering teams and enterprises running sustained GPU workloads who prioritize raw performance and cost efficiency over ease of use, and are comfortable managing their own infrastructure from the ground up.

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