Compute Comparison
vs
All providers →

GPUwerk vs Verda: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Specialist
Specialist
Founded
2022
Headquarters
Prague, Czech Republic (datacenter: Hradec Kralove, CZ)
Oslo, Norway
Billing model
Per-minute from prepaid credit; optional 1–24 month reservations
On-demand, Spot, Reserved (1mo–2yr)
Min commitment
None (reservations optional)
None
Support tier
Standard
Standard → Enterprise (ML craftsmen + infra engineers)
Regions
2 regions
2 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
Visit GPUwerk
GPUwerk Rating

No reviews yet — add yours ↗

Verda

Verda is a full-stack European AI cloud built for the full AI lifecycle — from rapid prototyping to foundation training and scalable inference. GPU catalog: GB300 SXM6, B300 SXM6, B200 SXM6, H200 SXM5, H100 SXM5, A100 SXM4, RTX PRO 6000, L40S — on-demand and spot. Instant clusters with InfiniBand interconnect up to 144× GPUs self-service. Serverless containers with scale-to-zero. GB300 NVL72 available (NVLink v5). $155M funding (NIB joined July 2026). SOC 2 Type II, ISO 27001/27017/27018/27701, GDPR, C5 certified. In-house AI Lab co-engineering with customers (1X World Model, SGLang, vLLM). 99.9% uptime.

Strengths
  • GB300, B300, B200 — competitive Blackwell pricing with spot options
  • Spot pricing available across all GPU tiers
  • Instant clusters up to 144× GPUs with InfiniBand, self-service
  • In-house AI Lab: co-engineering with 1X, SGLang, vLLM
  • SOC 2 Type II, ISO 27001/27017/27018/27701, GDPR, C5
  • GB300 NVL72 with NVLink v5 available
Weaknesses
  • Primarily EU regions — limited US/APAC coverage
  • Newer provider — smaller ecosystem vs hyperscalers
  • Reserved discounts are modest (2–25% off on-demand)
Best For
EU AI teams needing GDPR and ISO 27001 complianceFull AI lifecycle — prototyping through foundation trainingTeams wanting co-engineering support from AI LabConfidential computing workloads (hardware-attested inference)
Visit Verda
Verda Rating

No reviews yet — add yours ↗

Live GPU Pricing

Live prices load below.

Region Coverage

Popular Comparisons

Key differences

GPUwerk

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

Verda

GB300, B300, B200, H200 — full-stack EU AI cloud, SOC 2 Type II

AttributeGPUwerkVerda
Provider typespecialistspecialist
Billing modelPer-minute from prepaid credit; optional 1–24 month reservationsOn-demand, Spot, Reserved (1mo–2yr)
Min commitmentNone (reservations optional)None
Regions2 (CZ, EU)2 (EU-North, EU-West)
Support tierStandardStandard → Enterprise (ML craftsmen + infra engineers)
Best forEU data residency (Czech Republic), DGX Spark workloads (Arm64, large unified memory)EU AI teams needing GDPR and ISO 27001 compliance, Full AI lifecycle — prototyping through foundation training
Founded / HQ · Prague, Czech Republic (datacenter: Hradec Kralove, CZ)2022 · Oslo, Norway