Compute Comparison

AWS vs Lium: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Hyperscaler
Marketplace
Founded
2006
2023
Headquarters
Seattle, WA
United States
Billing model
On-demand, Reserved (1yr/3yr), Spot, Savings Plans
Per-second (spot and secure tiers)
Min commitment
None (on-demand)
None (15-min balance required to start)
Support tier
Basic → Enterprise
Standard
Regions
5 regions
1 regions

Strengths & Best For

AWS

AWS EC2 P5 instances are powered by NVIDIA H100 Tensor Core GPUs (up to 8× H100, 640 GB HBM3, 3,200 Gbps EFA networking). P5e and P5en instances use NVIDIA H200 GPUs (up to 8× H200, 1,128 GB HBM3e). P5en adds Gen5 PCIe and third-generation EFA for 35% lower latency. All three families deploy in EC2 UltraClusters scaling to 20,000 GPUs with petabit-scale nonblocking networking delivering 20 exaflops aggregate. SageMaker HyperPod manages resilient training clusters at any scale. Amazon Bedrock provides serverless access to DeepSeek v3.2, MiniMax, Kimi 3, Z.AI GLM 5, and Writer Palmyra. 30+ global regions with enterprise SLAs.

Strengths
  • P5/P5e/P5en: H100 and H200 in UltraClusters up to 20,000 GPUs
  • 20 exaflops aggregate compute in EC2 UltraClusters
  • 3,200 Gbps EFA networking with GPUDirect RDMA
  • SageMaker HyperPod for resilient distributed training
  • Amazon Bedrock: serverless access to DeepSeek, MiniMax, Kimi, GLM, Palmyra
  • 30+ global regions with enterprise SLAs and compliance certifications
Weaknesses
  • Highest on-demand GPU rates among all providers
  • Complex pricing — on-demand vs reserved vs spot vs savings plans
  • GPU quota increases require support tickets and can take days
Best For
Hyperscale AI training requiring 1,000+ GPUsEnterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Teams already invested in the AWS ecosystemProduction ML inference via SageMaker
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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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Live GPU Pricing

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Region Coverage

AWS — 5 regions
us-east-1us-west-2eu-west-1ap-southeast-1ap-northeast-1

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Key differences

AWS

P5 (H100), P5e/P5en (H200), UltraClusters up to 20,000 GPUs — hyperscale AI infrastructure

Lium

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

AttributeAWSLium
Provider typehyperscalermarketplace
Billing modelOn-demand, Reserved (1yr/3yr), Spot, Savings PlansPer-second (spot and secure tiers)
Min commitmentNone (on-demand)None (15-min balance required to start)
Regions5 (us-east-1, us-west-2, eu-west-1, +2)1 (Various)
Support tierBasic → EnterpriseStandard
Best forHyperscale AI training requiring 1,000+ GPUs, Enterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Short-burst GPU workloads, Cost-sensitive training with per-second billing
Founded / HQ2006 · Seattle, WA2023 · United States