GPUwerk

GPUwerk GPU pricing overview

GPUwerk is a specialist GPU cloud provider headquartered in Prague, Czech Republic (datacenter: Hradec Kralove, CZ). 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). Billing is Per-minute from prepaid credit; optional 1–24 month reservations with a minimum commitment of None (reservations optional). Available regions include CZ, EU. GPU instances can be provisioned on-demand, making GPUwerk suitable for both short-duration experiments and sustained production workloads.

GPUwerk vs other GPU providers

GPUwerk competes with providers including Lambda Labs, CoreWeave, RunPod, Paperspace, Vast.ai, and the major hyperscalers (AWS, Google Cloud, Azure) for GPU compute workloads spanning LLM training, fine-tuning, and inference serving. Key differentiators include: Dedicated machine per rental — no shared tenancy; Per-minute billing from prepaid credit; EU data residency (Czech Republic). Use the side-by-side comparison tool above to see GPUwerk pricing against any other provider across shared GPU models. For a broader market view, the live GPU prices table shows all active listings alongside 91+ providers in a single sortable view.

Best use cases for GPUwerk

GPUwerk is best suited for: EU data residency (Czech Republic), DGX Spark workloads (Arm64, large unified memory), RTX 5090 inference in the EU, Dedicated machines with per-minute billing. Support tiers range from Standard, making it viable for both individual researchers and enterprise teams with SLA requirements. H100 SXM5 instances with NVLink interconnect are commonly used for large-scale training workloads. A100 40GB and RTX 4090 instances are frequently used for fine-tuning and inference of smaller models.

GPUwerk billing model and cost structure

GPUwerk uses Per-minute from prepaid credit; optional 1–24 month reservations pricing. Spot pricing is not currently available on this provider — all instances are on-demand. Reserved instance pricing may be available for predictable long-running workloads — check the provider's pricing page for current committed-use rates. Always compare the effective hourly rate including egress, storage, and networking costs when evaluating total cost of ownership across providers.

Choosing the right GPU on GPUwerk

GPU selection depends on model size, precision, and whether your workload is compute-bound or memory-bandwidth-bound. For LLM training above 30B parameters, H100 80GB SXM5 instances with NVLink are the standard choice — high HBM3 bandwidth and FP16 throughput make them well-suited for large transformer workloads. For inference of 7B–13B models in FP16 or BF16, A100 40GB is a common choice on many providers. RTX 4090 instances are widely used for fine-tuning, prototyping, and quantized inference (INT4/INT8) of models up to 70B. Read the H100 vs A100 guide or the GPU benchmarks for ML guide for a full breakdown.

How GPUwerk pricing data is collected

Prices shown are sourced from GPUwerk's public pricing API or pricing page and refreshed every 15 minutes. On-demand rates reflect the current list price for a single GPU instance in the cheapest available region. Spot prices, where available, reflect interruptible instance rates at the time of the last snapshot. All prices are in USD per hour. Daily snapshots are kept in our history archive and visualised in the GPU price history charts — useful for identifying seasonal pricing patterns and evaluating whether current rates are above or below the 30-day average.

Evaluating managed LLM inference APIs as an alternative to self-hosted GPU compute? Compare live LLM token prices across OpenAI, Anthropic, Google, Groq, and many other providers. The cheapest GPU cloud guide covers the break-even analysis between self-hosted and managed inference at different request volumes.