DataCrunch vs Hyperstack: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute

DataCrunch

Hyperstack

Provider type

Specialist

Founded

2019

2022

Headquarters

Helsinki, Finland

London, UK

Billing model

On-demand, Reserved

On-demand (per-minute), Reserved, Spot VMs

Min commitment

None

Support tier

Standard

Standard → Enterprise

Regions

1 regions

3 regions

Strengths & Best For

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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Hyperstack

Hyperstack (by NexGen Cloud) is a full-stack AI cloud offering NVIDIA GB200 NVL72, GB300 NVL72, HGX B200, HGX B300, H200 SXM, H100 SXM, H100 NVLink, H100 PCIe, A100 SXM, A100, L40, RTX A6000, RTX A4000, and RTX Pro 6000 SE instances with per-minute billing. Reservation and spot VMs available. 100% renewable energy. Managed Kubernetes, object storage, Terraform, Go/Python SDKs, LLM Inference Toolkit.

Strengths

B300, B200, H200 — competitive Blackwell and Hopper pricing
A4000 — cheapest enterprise GPU for light workloads
Per-minute billing — pay only for what you use
100% renewable energy across all data centers
Wide GPU catalog: 13 SKUs from A4000 to GB300 NVL72
Managed Kubernetes, Terraform, Go/Python SDKs, LLM Inference Toolkit

Weaknesses

Smaller provider — limited scale vs CoreWeave or hyperscalers
Fewer regions than major cloud providers
B300 on-demand not yet available (reserved private clusters only as of Sept 2026)

Best For

Enterprise AI teams wanting latest Blackwell hardwareEU/NA teams needing renewable-energy GPU computeTeams wanting managed Kubernetes with GPU VMsCost-sensitive teams using reservation discounts

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Region Coverage

DataCrunch — 1 regions

EU (Finland)

Hyperstack — 3 regions

EU-WestEU-CentralUS-East

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Provider pages

DataCrunch pricing and specs Hyperstack pricing and specs

Key differences

DataCrunch

Nordic GPU cloud powered by renewable energy

Hyperstack

B300, B200, H200, H100 — per-minute billing, 100% renewable energy

AttributeDataCrunchHyperstack

Provider typespecialistspecialist

Billing modelOn-demand, ReservedOn-demand (per-minute), Reserved, Spot VMs

Min commitmentNoneNone

Regions1 (EU (Finland))3 (EU-West, EU-Central, US-East)

Support tierStandardStandard → Enterprise

Best forESG-conscious AI teams, EU-based LLM training and fine-tuningEnterprise AI teams wanting latest Blackwell hardware, EU/NA teams needing renewable-energy GPU compute

Founded / HQ2019 · Helsinki, Finland2022 · London, UK