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GPUwerk vs TensorDock: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Marketplace
Founded
2021
Headquarters
Prague, Czech Republic (datacenter: Hradec Kralove, CZ)
Boston, MA
Billing model
Per-minute from prepaid credit; optional 1–24 month reservations
Per-second on-demand, Spot, Reserved
Min commitment
None (reservations optional)
None (minimum deposit required — check tensordock.com)
Support tier
Standard
Community → Pro
Regions
2 regions
4 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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TensorDock

TensorDock is a GPU cloud marketplace connecting users with independent hosts across 100+ global locations. 45+ GPU models from consumer RTX cards to HGX H100 SXM5, including H100 SXM5, A100 SXM4, and RTX 4090. Pay-per-second billing with no minimum commitments, no waitlists, and no quotas. Hosts compete on price, keeping rates among the lowest available. KVM virtualization with root access and dedicated GPUs. Windows 10 support. Voltage Park (merged with Lightning AI) is a TensorDock partner. Customers include Florida State University, airgpu, ELBO, and Creavite.

Strengths
  • H100 SXM — competitive H100 pricing
  • A100 SXM and RTX 4090 at competitive marketplace rates
  • Pay-per-second billing with no minimum commitment
  • 45+ GPU models from consumer to H100
  • 100+ global locations across 20+ countries
  • No waitlists or quotas — low minimum deposit to start
Weaknesses
  • Marketplace model — hardware quality varies by host
  • No enterprise SLAs or uptime guarantees
  • Limited support for complex distributed training
Best For
Budget AI training and fine-tuningBatch inference workloadsTeams needing wide GPU varietyResearchers avoiding waitlistsCost-sensitive multi-region deployments
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Live GPU Pricing

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Region Coverage

TensorDock — 4 regions
USEUAPACVarious (100+ locations, 20+ countries)

Popular Comparisons

Key differences

GPUwerk

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

TensorDock

H100 SXM, A100 SXM, RTX 4090 — 45 GPU types, 100+ locations

AttributeGPUwerkTensorDock
Provider typespecialistmarketplace
Billing modelPer-minute from prepaid credit; optional 1–24 month reservationsPer-second on-demand, Spot, Reserved
Min commitmentNone (reservations optional)None (minimum deposit required — check tensordock.com)
Regions2 (CZ, EU)4 (US, EU, APAC, +1)
Support tierStandardCommunity → Pro
Best forEU data residency (Czech Republic), DGX Spark workloads (Arm64, large unified memory)Budget AI training and fine-tuning, Batch inference workloads
Founded / HQ · Prague, Czech Republic (datacenter: Hradec Kralove, CZ)2021 · Boston, MA