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Daytona vs UpCloud: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2023
2011
Headquarters
United States
Helsinki, Finland
Billing model
Preemptible (spot)
On-demand
Min commitment
None
None
Support tier
Standard
Standard
Regions
1 regions
4 regions

Strengths & Best For

Daytona

Daytona is a GPU cloud offering preemptible (spot) instances across a wide range of hardware including NVIDIA B300, B200, H200, H100, RTX PRO 6000, RTX 5090, RTX 4090, and AMD MI355X. All pricing is preemptible — no on-demand rates are published. Competitive spot pricing makes Daytona a cost-effective option for fault-tolerant AI training, batch inference, and research workloads that can tolerate interruption. Access to Blackwell-generation hardware (B300, B200) at preemptible rates is a notable differentiator for teams that need next-generation GPU performance at reduced cost.

Strengths
  • B300 and B200 Blackwell hardware at preemptible rates
  • AMD MI355X availability
  • Wide GPU catalog: H200, H100, RTX 5090, RTX 4090
  • Competitive spot pricing across all SKUs
  • RTX PRO 6000 Blackwell available
Weaknesses
  • Preemptible only — no on-demand pricing published
  • Workloads must handle interruption
  • Smaller provider — limited scale vs hyperscalers
Best For
Fault-tolerant AI training on latest hardwareBatch inference at reduced costResearch workloads that can tolerate interruptionTeams needing Blackwell GPUs at spot pricing
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UpCloud

UpCloud is a Finnish cloud provider known for its MaxIOPS storage and reliable infrastructure, now offering H100 and A100 GPU instances for AI and ML workloads across Finnish, EU, US, and APAC data centers. On-demand billing and a strong uptime track record make it a dependable choice for European teams that need GPU compute paired with high-performance storage for data-intensive AI training pipelines. A solid European GPU cloud for teams that value reliability and storage performance alongside GPU compute.

Strengths
  • MaxIOPS storage
  • Reliable uptime
  • European presence
  • Competitive pricing
Weaknesses
  • Limited GPU catalog vs specialist AI clouds
  • Less ML-focused tooling
  • Smaller ecosystem vs hyperscalers
Best For
European teamsStorage-intensive AIReliable inference
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Key differences

Daytona

Preemptible GPU cloud — B300, B200, MI355X, H200, H100, RTX 5090 at spot rates

UpCloud

Finnish cloud with GPU options

AttributeDaytonaUpCloud
Provider typespecialistspecialist
Billing modelPreemptible (spot)On-demand
Min commitmentNoneNone
Regions1 (US)4 (FI, EU, US, +1)
Support tierStandardStandard
Best forFault-tolerant AI training on latest hardware, Batch inference at reduced costEuropean teams, Storage-intensive AI
Founded / HQ2023 · United States2011 · Helsinki, Finland