Northflank vs Runcrate: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Northflank and Runcrate. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Northflank is a developer-focused PaaS platform offering GPU compute (L4, A100 40GB, A100 80GB, H100 80GB, RTX PRO 6000) alongside managed containers, CI/CD pipelines, databases, and cron jobs — all in one platform. GPU instances are available on-demand in US and EU regions. The platform is designed for teams that want to run GPU workloads as part of a broader application stack without managing raw cloud infrastructure. A strong choice for ML engineers who want GPU compute tightly integrated with deployment, scheduling, and application services.
- GPU compute integrated with PaaS — containers, CI/CD, databases in one platform
- H100 80GB and RTX PRO 6000 availability
- US and EU regions
- Developer-friendly platform with managed services
- On-demand billing with no minimum commitment
- PaaS model — less control than raw GPU clouds
- Higher per-GPU cost than bare infrastructure
- Smaller GPU catalog than specialist GPU clouds
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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.
- 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
- No enterprise SLAs or uptime guarantees
- Smaller provider — limited scale vs hyperscalers
- No managed platform or containers
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Key differences
Northflank
PaaS GPU compute — L4, A100, H100, RTX PRO 6000 with managed containers and CI/CD
Runcrate
GPU cloud with per-second billing and an OpenAI-compatible inference API