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Cerebrium vs Lium: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Specialist
Marketplace
Founded
2022
2023
Headquarters
Cape Town, South Africa
United States
Billing model
Per-second usage
Per-second (spot and secure tiers)
Min commitment
None
None (15-min balance required to start)
Support tier
Standard
Standard
Regions
2 regions
1 regions

Strengths & Best For

Cerebrium

Cerebrium is a serverless ML infrastructure platform that deploys H100, A100, and T4 GPU workloads in seconds using custom containers, enabling real-time LLM inference and fine-tuned model serving without managing any infrastructure. Per-second billing and fast cold starts (typically under 5 seconds) make it highly cost-efficient for bursty AI inference APIs and model deployment pipelines. Supports any Python framework — PyTorch, TensorFlow, JAX, vLLM, TGI. Free tier available. A top choice for ML teams that want to ship production inference endpoints quickly with minimal DevOps overhead.

Strengths
  • Cold starts under 5 seconds — fast serverless GPU spin-up
  • Custom containers — any Python framework supported
  • Per-second billing with free tier
  • H100 and A100 availability
  • Supports vLLM, TGI, and custom inference servers
Weaknesses
  • Smaller provider — limited cluster scale
  • Fewer regions than major cloud providers
  • Not suitable for multi-node distributed training
Best For
Real-time LLM inference APIsFine-tuned model servingTeams wanting serverless GPU with custom containersBursty inference workloads with zero idle cost
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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

Cerebrium

Serverless ML deployment — H100, A100, T4 in seconds via custom containers

Lium

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

AttributeCerebriumLium
Provider typespecialistmarketplace
Billing modelPer-second usagePer-second (spot and secure tiers)
Min commitmentNoneNone (15-min balance required to start)
Regions2 (US, EU)1 (Various)
Support tierStandardStandard
Best forReal-time LLM inference APIs, Fine-tuned model servingShort-burst GPU workloads, Cost-sensitive training with per-second billing
Founded / HQ2022 · Cape Town, South Africa2023 · United States