Compute Comparison
vs
All providers →

AtmosCompute vs Crusoe Cloud: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2023
2018
Headquarters
United States
San Francisco, CA
Billing model
Pay-as-you-go
On-demand, Reserved, Serverless (Intelligence Foundry)
Min commitment
None
None (on-demand)
Support tier
Standard
Standard → Enterprise (24/7)
Regions
1 regions
4 regions

Strengths & Best For

AtmosCompute

AtmosCompute provides on-demand H100, A100, and L40S GPU instances for AI and ML workloads with flexible pay-as-you-go billing and straightforward pricing. Fast provisioning (typically under 5 minutes) and a simple web interface lower the barrier to entry for startups and small teams exploring GPU compute. Full root SSH access, Docker support, and persistent storage volumes are included on every instance. A no-frills on-demand GPU cloud for teams that want quick access to professional NVIDIA hardware without enterprise complexity.

Strengths
  • H100, A100, and L40S on-demand
  • Fast provisioning under 5 minutes
  • Full root SSH access and Docker support
  • Simple pay-as-you-go billing
Weaknesses
  • Smaller provider — limited cluster scale
  • Fewer regions than major cloud providers
  • No managed ML platform or MLOps tooling
Best For
Startups needing quick GPU accessShort training runs and fine-tuningInference workloads on H100 or A100
Visit AtmosCompute
AtmosCompute Rating

No reviews yet — add yours ↗

Crusoe Cloud

Crusoe raised a $3.9B Series F in September 2026 and is building vertically-integrated AI infrastructure at gigawatt scale. GPU catalog: NVIDIA GB200 NVL72, HGX B200, H200, H100, and AMD MI300X/MI355X. Crusoe Intelligence Foundry provides managed inference (benchmark results published at crusoe.ai), Serverless Fine-Tuning (GA), and a model hub with GLM 5.3, DeepSeek V4 Pro, Kimi K2.6, GPT-OSS 120B, Qwen 3.8 27B, Nemotron 3. Contracted AI infrastructure capacity approaching 5 GW. Partnerships: Perplexity (multi-year, full model lifecycle), Microsoft (900 MW Abilene campus), Aalo Atomics (nuclear-powered AI factory). Energy sources: wind, solar, hydropower, geothermal, natural gas with carbon capture.

Strengths
  • $3.9B Series F — well-funded AI infrastructure company
  • GB200 NVL72, B200, H200, H100, AMD MI355X in catalog
  • Crusoe Intelligence Foundry: managed inference with published benchmarks at crusoe.ai
  • Serverless Fine-Tuning GA — no cluster provisioning
  • Approaching 5 GW contracted AI infrastructure capacity
  • Energy-first: wind, solar, hydro, geothermal, natural gas + carbon capture
Weaknesses
  • Primarily US-based — limited international regions
  • Sales-led for large clusters
  • Smaller ecosystem vs hyperscalers
Best For
Frontier model training at gigawatt scaleManaged inference and fine-tuning via Intelligence FoundryESG-conscious enterprises needing carbon-aligned computeTeams wanting vertically-integrated AI factory infrastructure
Visit Crusoe Cloud
Crusoe Cloud Rating

No reviews yet — add yours ↗

Live GPU Pricing

Live prices load below.

Region Coverage

Crusoe Cloud — 4 regions
US-WestUS-CentralUS-EastEU-North (Norway)

Popular Comparisons

Key differences

AtmosCompute

On-demand H100, A100, and L40S — flexible pay-as-you-go GPU cloud

Crusoe Cloud

$3.9B Series F — GB200 NVL72, B200, H200, H100, AMD MI355X with energy-first AI factories

AttributeAtmosComputeCrusoe Cloud
Provider typespecialistspecialist
Billing modelPay-as-you-goOn-demand, Reserved, Serverless (Intelligence Foundry)
Min commitmentNoneNone (on-demand)
Regions1 (US)4 (US-West, US-Central, US-East, +1)
Support tierStandardStandard → Enterprise (24/7)
Best forStartups needing quick GPU access, Short training runs and fine-tuningFrontier model training at gigawatt scale, Managed inference and fine-tuning via Intelligence Foundry
Founded / HQ2023 · United States2018 · San Francisco, CA