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CloudGPU vs Lambda Labs: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2012
Headquarters
San Francisco, CA
Billing model
On-demand (per-minute)
On-demand, Reserved (1yr/3yr), Committed clusters
Min commitment
None
None (on-demand Instances)
Support tier
Community
Community → Enterprise
Regions
1 regions
4 regions

Strengths & Best For

CloudGPU

CloudGPU rents on-demand GPUs billed per minute, with root SSH access and templates for Ollama, JupyterLab, ComfyUI and LLaMA-Factory. Prices come from CloudGPU's public price feed.

Strengths
  • Per-minute billing — pay only for what you use
  • Root SSH access on every instance
  • Ready-to-use templates: Ollama, JupyterLab, ComfyUI, LLaMA-Factory
  • Wide consumer and data-center GPU selection
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • No enterprise SLAs or compliance certifications
  • Region information not published per instance
Best For
Developers wanting per-minute billing with no commitmentTeams running Ollama or ComfyUI workloadsCost-sensitive inference and fine-tuning
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CloudGPU Rating

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Lambda Labs

Lambda (formerly Lambda Labs) is a purpose-built AI supercomputer cloud offering NVIDIA Vera Rubin NVL72, GB300 NVL72, HGX B300, HGX B200, and H200 GPU clusters for large-scale training and inference. Superclusters run on single-tenant infrastructure with NVIDIA Quantum-2 InfiniBand; 1-Click Clusters™ provide production-ready B200 and H100 clusters optimized for distributed workloads; on-demand Instances spin up in minutes for prototyping. SOC 2 Type II certified with single-tenant, shared-nothing architecture. Trusted by leading AI labs and enterprises for frontier model training.

Strengths
  • Vera Rubin NVL72 and GB300 NVL72 supercomputers
  • 1-Click Clusters™ for production-ready B200/H100 distributed workloads
  • Single-tenant, shared-nothing architecture
  • SOC 2 Type II, caged clusters with hardware-level isolation
  • Co-engineering support from infrastructure experts
  • No egress fees
Weaknesses
  • Premium pricing vs commodity GPU clouds
  • Sales-led process for large clusters
  • On-demand Instances have limited availability vs spot-heavy providers
Best For
Frontier model training at scaleEnterprise AI labs needing dedicated supercomputersTeams wanting managed clusters with expert co-engineeringGovernment and regulated industry AI workloads
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Lambda Labs Rating

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Live GPU Pricing

GPU Model
A100 40GB
$0.79
$1.99
A100 80GB
$1.59
$2.79

Green = lower price. On-demand hourly rates. Updated every 15 minutes.

Region Coverage

Lambda Labs — 4 regions
US-EastUS-WestEU-CentralAP-South

Popular Comparisons

Key differences

CloudGPU

On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates

Lambda Labs

The Superintelligence Cloud — supercomputers for training and inference

AttributeCloudGPULambda Labs
Provider typespecialistspecialist
Billing modelOn-demand (per-minute)On-demand, Reserved (1yr/3yr), Committed clusters
Min commitmentNoneNone (on-demand Instances)
Regions1 (Global)4 (US-East, US-West, EU-Central, +1)
Support tierCommunityCommunity → Enterprise
Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsFrontier model training at scale, Enterprise AI labs needing dedicated supercomputers
Founded / HQ · 2012 · San Francisco, CA