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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GPUaaS delivers H100 and A100 GPU compute as a fully managed service, enabling European AI teams to access high-performance GPU infrastructure without any infrastructure overhead or operational complexity. On-demand billing and a managed service model make it easy to scale AI training and inference workloads without dedicated DevOps resources. A strong choice for European AI teams that want managed GPU-as-a-service with EU data residency and minimal operational burden.
- Managed service
- Simple onboarding
- European presence
- Small provider — limited GPU catalog
- Fewer regions than larger providers
- Less mature ecosystem vs CoreWeave
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Key differences
Daytona
Preemptible GPU cloud — B300, B200, MI355X, H200, H100, RTX 5090 at spot rates
GPUaaS
GPU as a Service