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DaytonavsRuncrate

Daytona vs Runcrate: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Daytona
Runcrate
Provider type
Specialist
Specialist
Founded
2023
2024
Headquarters
United States
US
Billing model
Preemptible (spot)
Per-second on-demand
Min commitment
None
None
Support tier
Standard
Standard
Regions
1 regions
3 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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Runcrate

Runcrate is a GPU cloud founded in 2024 offering on-demand instances with per-second billing and no minimum commitment — the meter stops the moment you stop the instance. The platform aggregates GPU capacity across eight global regions spanning North America, Europe, and Asia, covering 14 GPU models from RTX A6000 and A100 through H100 and RTX PRO 6000. Full root access via SSH, Docker support, and custom images are included on every instance. An OpenAI-compatible inference API serves open-source models billed per token, and reserved or dedicated capacity is available for teams with monthly volume commitments.

Strengths
  • Per-second billing — no minimum commitment
  • OpenAI-compatible inference API
  • 14 GPU models including H100 and RTX PRO 6000
  • 8 global regions across NA, EU, and Asia
  • Full root SSH access with Docker and custom images
  • Reserved and dedicated capacity available
Weaknesses
  • No enterprise SLAs or uptime guarantees
  • Smaller provider — limited scale vs hyperscalers
  • No managed platform or containers
Best For
Teams needing flexible per-second GPU billingOpen-source model inference via APIMulti-region GPU workloadsCost-sensitive on-demand training and fine-tuning
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Live GPU Pricing

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Region Coverage

Daytona — 1 regions
US
Runcrate — 3 regions
USEUAPAC

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Provider pages

Daytona pricing and specs Runcrate pricing and specs

Key differences

Daytona

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

Runcrate

GPU cloud with per-second billing and an OpenAI-compatible inference API

AttributeDaytonaRuncrate
Provider typespecialistspecialist
Billing modelPreemptible (spot)Per-second on-demand
Min commitmentNoneNone
Regions1 (US)3 (US, EU, APAC)
Support tierStandardStandard
Best forFault-tolerant AI training on latest hardware, Batch inference at reduced costTeams needing flexible per-second GPU billing, Open-source model inference via API
Founded / HQ2023 · United States2024 · US