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AWS vs DataCrunch: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Hyperscaler
Specialist
Founded
2006
2019
Headquarters
Seattle, WA
Helsinki, Finland
Billing model
On-demand, Reserved (1yr/3yr), Spot, Savings Plans
On-demand, Reserved
Min commitment
None (on-demand)
None
Support tier
Basic → Enterprise
Standard
Regions
5 regions
1 regions

Strengths & Best For

AWS

AWS EC2 P5 instances are powered by NVIDIA H100 Tensor Core GPUs (up to 8× H100, 640 GB HBM3, 3,200 Gbps EFA networking). P5e and P5en instances use NVIDIA H200 GPUs (up to 8× H200, 1,128 GB HBM3e). P5en adds Gen5 PCIe and third-generation EFA for 35% lower latency. All three families deploy in EC2 UltraClusters scaling to 20,000 GPUs with petabit-scale nonblocking networking delivering 20 exaflops aggregate. SageMaker HyperPod manages resilient training clusters at any scale. Amazon Bedrock provides serverless access to DeepSeek v3.2, MiniMax, Kimi 3, Z.AI GLM 5, and Writer Palmyra. 30+ global regions with enterprise SLAs.

Strengths
  • P5/P5e/P5en: H100 and H200 in UltraClusters up to 20,000 GPUs
  • 20 exaflops aggregate compute in EC2 UltraClusters
  • 3,200 Gbps EFA networking with GPUDirect RDMA
  • SageMaker HyperPod for resilient distributed training
  • Amazon Bedrock: serverless access to DeepSeek, MiniMax, Kimi, GLM, Palmyra
  • 30+ global regions with enterprise SLAs and compliance certifications
Weaknesses
  • Highest on-demand GPU rates among all providers
  • Complex pricing — on-demand vs reserved vs spot vs savings plans
  • GPU quota increases require support tickets and can take days
Best For
Hyperscale AI training requiring 1,000+ GPUsEnterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Teams already invested in the AWS ecosystemProduction ML inference via SageMaker
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DataCrunch

DataCrunch is a Finnish GPU cloud provider offering H100 SXM5, A100, and V100 instances powered entirely by renewable Nordic hydropower. Competitive on-demand and reserved pricing makes it a strong choice for EU-based AI teams that want high-performance GPU compute with a low carbon footprint. DataCrunch provides bare-metal-level performance with cloud convenience, and its Nordic data center location offers natural cooling efficiency and strong EU data sovereignty guarantees.

Strengths
  • 100% renewable energy — hydropower powered
  • Competitive H100 and A100 pricing
  • EU data sovereignty and GDPR compliance
  • Low-latency Nordic interconnects
Weaknesses
  • Single region — Finland only
  • Smaller provider — limited scale for very large clusters
  • Fewer enterprise integrations vs hyperscalers
Best For
ESG-conscious AI teamsEU-based LLM training and fine-tuningResearchers needing affordable H100 accessTeams with EU data residency requirements
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Region Coverage

AWS — 5 regions
us-east-1us-west-2eu-west-1ap-southeast-1ap-northeast-1

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Key differences

AWS

P5 (H100), P5e/P5en (H200), UltraClusters up to 20,000 GPUs — hyperscale AI infrastructure

DataCrunch

Nordic GPU cloud powered by renewable energy

AttributeAWSDataCrunch
Provider typehyperscalerspecialist
Billing modelOn-demand, Reserved (1yr/3yr), Spot, Savings PlansOn-demand, Reserved
Min commitmentNone (on-demand)None
Regions5 (us-east-1, us-west-2, eu-west-1, +2)1 (EU (Finland))
Support tierBasic → EnterpriseStandard
Best forHyperscale AI training requiring 1,000+ GPUs, Enterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)ESG-conscious AI teams, EU-based LLM training and fine-tuning
Founded / HQ2006 · Seattle, WA2019 · Helsinki, Finland