Daytona vs Northflank: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Daytona and Northflank. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
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.
- 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
- Preemptible only — no on-demand pricing published
- Workloads must handle interruption
- Smaller provider — limited scale vs hyperscalers
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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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Live GPU Pricing
Region Coverage
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Provider pages
Key differences
Daytona
Preemptible GPU cloud — B300, B200, MI355X, H200, H100, RTX 5090 at spot rates
Northflank
PaaS GPU compute — L4, A100, H100, RTX PRO 6000 with managed containers and CI/CD