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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Lyceum is an academic GPU cloud offering H100 and A100 instances with research-friendly policies, flexible on-demand pricing, and configurations tailored for AI experimentation and academic research teams. Accessible pricing and a focus on the research community make it a practical option for universities and independent researchers who need GPU compute for LLM experimentation and model training without enterprise overhead. A strong choice for academic AI teams that want affordable, flexible GPU access.
- Research-friendly
- Flexible pricing
- Academic focus
- Very small provider — limited scale
- No enterprise SLAs
- Limited documentation and support resources
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Key differences
Daytona
Preemptible GPU cloud — B300, B200, MI355X, H200, H100, RTX 5090 at spot rates
Lyceum
GPU cloud for researchers