GPUwerk vs Vultr: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for GPUwerk and Vultr. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute

GPUwerk

Vultr

Provider type

Specialist

Founded

2014

Headquarters

Prague, Czech Republic (datacenter: Hradec Kralove, CZ)

Matawan, NJ

Billing model

Per-minute from prepaid credit; optional 1–24 month reservations

On-demand (hourly)

Min commitment

None (reservations optional)

None

Support tier

Standard

Basic → Enterprise

Regions

2 regions

5 regions

Strengths & Best For

GPUwerk

GPUwerk is a specialist GPU cloud operated by PRINT IT! SE, based in Prague with datacenter infrastructure in Hradec Kralove, Czech Republic. The platform offers dedicated machine rentals with per-minute billing from prepaid credit, no egress fees, and optional 1–24 month reservations. Current catalog: DGX Spark (GB10) with 128 GB unified LPDDR5x memory, RTX 5090 32 GB, and a linked 2-node DGX Spark cluster (256 GB total across two nodes, not one pool) at $1.79/hr. EU data residency (Czech Republic).

Strengths

Dedicated machine per rental — no shared tenancy
Per-minute billing from prepaid credit
EU data residency (Czech Republic)
No egress fees
DGX Spark (GB10) with 128 GB unified LPDDR5x memory

Weaknesses

No workspace backup
Container access only — not host root
Stopped instances billed at 75% of on-demand rate
DGX Spark uses Arm64 architecture — container images must target linux/arm64

Best For

EU data residency (Czech Republic)DGX Spark workloads (Arm64, large unified memory)RTX 5090 inference in the EUDedicated machines with per-minute billing

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Vultr

Vultr offers H100, A100, L40S, RTX 6000 Ada, and RTX 4000 Ada GPU instances across 32 global locations with simple hourly billing and no long-term commitment required. A developer-friendly GPU cloud with a clean API, straightforward pricing, and broad geographic coverage for teams needing AI inference or training capacity close to their users. Vultr Cloud GPU instances include dedicated VRAM, NVMe storage, and generous transfer allowances. A solid choice for global deployment of AI workloads without the complexity of hyperscaler pricing models.

Strengths

32 global locations — wide geographic coverage among specialist GPU clouds
Simple hourly billing — no long-term commitment
H100, A100, L40S, RTX 6000/4000 Ada in catalog
Clean API and developer-friendly onboarding
Generous transfer allowances included

Weaknesses

Smaller GPU catalog than specialist AI clouds
Less ML-focused tooling vs CoreWeave or Lambda
Limited spot/preemptible GPU options

Best For

Global deployment of AI workloadsSimple inference and training workloadsDeveloper-friendly teams wanting simple billingTeams needing GPU capacity in emerging regions

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Region Coverage

GPUwerk — 2 regions

CZEU

Vultr — 5 regions

USEUAPACAUSA

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Provider pages

GPUwerk pricing and specs Vultr pricing and specs

Key differences

GPUwerk

EU specialist GPU cloud — DGX Spark and RTX 5090, per-minute billing, Czech Republic

Vultr

H100, A100, L40S, RTX 4000/6000 Ada — simple hourly billing across 32 global locations

AttributeGPUwerkVultr

Provider typespecialistspecialist

Billing modelPer-minute from prepaid credit; optional 1–24 month reservationsOn-demand (hourly)

Min commitmentNone (reservations optional)None

Regions2 (CZ, EU)5 (US, EU, APAC, +2)

Support tierStandardBasic → Enterprise

Best forEU data residency (Czech Republic), DGX Spark workloads (Arm64, large unified memory)Global deployment of AI workloads, Simple inference and training workloads

Founded / HQ · Prague, Czech Republic (datacenter: Hradec Kralove, CZ)2014 · Matawan, NJ