Lium vs QuantaCloud: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Lium and QuantaCloud. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Lium (operated by Datura AI Corp) is a GPU marketplace offering H100, H200, A100, and other GPU nodes with per-second billing and no minimum rental period. A prepaid balance sufficient to cover 15 minutes is required to start a rental; billing stops the moment you end it. Spot and secure node tiers are available. Check the live table for current availability and rates.
- Per-second billing — pay only for what you use
- Minimum rentable GPUs varies by node — single GPUs to whole 8-GPU nodes
- Spot and secure node tiers
- H100, H200, A100 and other GPU models available
- Marketplace prices move as nodes rent out
- Marketplace model — hardware availability varies by node
- Smaller provider with limited scale
- Less mature ecosystem vs established providers
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QuantaCloud provides bare-metal A100, H100, H200, and B300 GPU clusters with InfiniBand interconnect and no virtualization overhead, purpose-built for large-scale LLM training and multi-node distributed AI workloads. Reserved and cluster configurations are available for organizations that need dedicated GPU infrastructure with consistent performance for long-running training runs. A specialist bare-metal GPU cloud for AI labs and enterprises that need maximum cluster performance for frontier model training.
- Bare-metal performance
- InfiniBand networking
- Large cluster configs
- H200 and B300 availability
- Bare-metal focused — requires more infrastructure management
- Limited self-service tooling
- Smaller ecosystem vs cloud providers
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Live GPU Pricing
Region Coverage
Popular Comparisons
Provider pages
Key differences
Lium
GPU marketplace — per-second billing, no minimum rental period
QuantaCloud
Bare-metal GPU cloud with A100, H100, and H200 clusters