GPUwerk vs Green AI Cloud: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute

GPUwerk

Green AI Cloud

Provider type

Specialist

Founded

2022

Headquarters

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

Europe

Billing model

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

On-demand

Min commitment

None (reservations optional)

None

Support tier

Standard

Regions

2 regions

1 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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Green AI Cloud

Green AI Cloud offers H100 and A100 GPU instances powered by 100% renewable energy across European data centers, targeting organizations that need ESG-compliant AI compute for LLM training, fine-tuning, and inference workloads. On-demand billing and a sustainability-first mission make it a responsible choice for enterprises with carbon reduction commitments. A strong option for EU-based AI teams that want verifiably green GPU cloud infrastructure without sacrificing performance.

Strengths