Cerebrium vs GPUwerk: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute

Cerebrium

GPUwerk

Provider type

Specialist

Founded

2022

Headquarters

Cape Town, South Africa

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

Billing model

Per-second usage

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

Min commitment

None

None (reservations optional)

Support tier

Standard

Regions

2 regions

Strengths & Best For

Cerebrium

Cerebrium is a serverless ML infrastructure platform that deploys H100, A100, and T4 GPU workloads in seconds using custom containers, enabling real-time LLM inference and fine-tuned model serving without managing any infrastructure. Per-second billing and fast cold starts (typically under 5 seconds) make it highly cost-efficient for bursty AI inference APIs and model deployment pipelines. Supports any Python framework — PyTorch, TensorFlow, JAX, vLLM, TGI. Free tier available. A top choice for ML teams that want to ship production inference endpoints quickly with minimal DevOps overhead.

Strengths

Cold starts under 5 seconds — fast serverless GPU spin-up
Custom containers — any Python framework supported
Per-second billing with free tier
H100 and A100 availability
Supports vLLM, TGI, and custom inference servers

Weaknesses

Smaller provider — limited cluster scale
Fewer regions than major cloud providers
Not suitable for multi-node distributed training

Best For

Real-time LLM inference APIsFine-tuned model servingTeams wanting serverless GPU with custom containersBursty inference workloads with zero idle cost

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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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