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GPUwerk vs Together AI: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2022
Headquarters
Prague, Czech Republic (datacenter: Hradec Kralove, CZ)
San Francisco, CA
Billing model
Per-minute from prepaid credit; optional 1–24 month reservations
Per-token (inference), On-demand / Reserved (GPU cloud)
Min commitment
None (reservations optional)
None
Support tier
Standard
Community → Enterprise
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
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Together AI

Together AI is a full-stack AI platform combining a high-throughput inference API (200+ open-source models), dedicated GPU clusters (H100 SXM, A100), and a managed fine-tuning service. Together MoE optimization cuts costs on large mixture-of-experts models. Function calling and JSON mode across all major models. Fine-tuning: LoRA and full fine-tune for Llama, Mistral, and Qwen. GPU cloud: H100 SXM and A100 clusters for large-scale training. Check api.together.ai/models for current per-token rates.

Strengths
  • 200+ open-source models — wide inference API catalog
  • Llama 4 Scout — competitive frontier-open pricing
  • Together MoE optimization reduces cost on large MoE models
  • Managed fine-tuning: LoRA and full fine-tune for Llama, Mistral, Qwen
  • Function calling and JSON mode across all major models
  • GPU cloud + inference API from one vendor
Weaknesses
  • GPU cloud side less polished than pure-play providers like CoreWeave
  • Inference API latency trails Fireworks and Cerebras on speed benchmarks
  • Enterprise SLAs require custom contracts — not self-serve
Best For
Teams wanting inference API + GPU training from one vendorFine-tuning Llama, Mistral, or Qwen at scaleCost-conscious teams replacing OpenAI with open-source modelsResearchers needing broad model access without self-hosting
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Key differences

GPUwerk

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

Together AI

Full-stack AI platform — 200+ models, GPU cloud, fine-tuning, and Together MoE optimization

AttributeGPUwerkTogether AI
Provider typespecialistspecialist
Billing modelPer-minute from prepaid credit; optional 1–24 month reservationsPer-token (inference), On-demand / Reserved (GPU cloud)
Min commitmentNone (reservations optional)None
Regions2 (CZ, EU)2 (US-East, US-West)
Support tierStandardCommunity → Enterprise
Best forEU data residency (Czech Republic), DGX Spark workloads (Arm64, large unified memory)Teams wanting inference API + GPU training from one vendor, Fine-tuning Llama, Mistral, or Qwen at scale
Founded / HQ · Prague, Czech Republic (datacenter: Hradec Kralove, CZ)2022 · San Francisco, CA