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Cirrascale vs Lium: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cirrascale and Lium. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Marketplace
Founded
2009
2023
Headquarters
San Diego, CA
United States
Billing model
On-demand, Reserved
Per-second (spot and secure tiers)
Min commitment
None
None (15-min balance required to start)
Support tier
Standard → Enterprise
Standard
Regions
1 regions
1 regions

Strengths & Best For

Cirrascale

Cirrascale Cloud Services provides enterprise-grade AI infrastructure featuring H100 NVL, H100 SXM5, and H200 GPU clusters with InfiniBand networking for high-throughput distributed LLM training and large-scale AI workloads. Dedicated cluster deployments and reserved configurations give enterprises full control over their GPU infrastructure without shared-tenancy concerns. A specialist provider for AI labs and enterprises that need dedicated H100 or H200 cluster capacity at scale.

Strengths
  • H100/H200 cluster focus
  • InfiniBand networking
  • Dedicated deployments
  • Enterprise SLAs
Weaknesses
  • Bare-metal focused — requires more infrastructure management
  • Limited self-service tooling
  • Smaller ecosystem vs cloud providers
Best For
Large-scale AI trainingEnterprise LLM workloadsDedicated cluster users
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Lium

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.

Strengths
  • 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
Weaknesses
  • Marketplace model — hardware availability varies by node
  • Smaller provider with limited scale
  • Less mature ecosystem vs established providers
Best For
Short-burst GPU workloadsCost-sensitive training with per-second billingTeams wanting flexible on-demand GPU access
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Region Coverage

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Key differences

Cirrascale

Enterprise AI infrastructure with H100 and H200 clusters

Lium

GPU marketplace — per-second billing, no minimum rental period

AttributeCirrascaleLium
Provider typespecialistmarketplace
Billing modelOn-demand, ReservedPer-second (spot and secure tiers)
Min commitmentNoneNone (15-min balance required to start)
Regions1 (US)1 (Various)
Support tierStandard → EnterpriseStandard
Best forLarge-scale AI training, Enterprise LLM workloadsShort-burst GPU workloads, Cost-sensitive training with per-second billing
Founded / HQ2009 · San Diego, CA2023 · United States