Prices updated 2026-06-23 — sourced from live provider data

Crusoe Energy H200 Pricing Options

All available H200 instance types on Crusoe Energy, sorted by lowest hourly rate.

Region Instance Type Price/hr GPUs vCPUs RAM
US (Texas) H200 SXM On-Demand $3.1500/hr Cheapest 1× GPU 20 vCPU 240 GB

About Crusoe Energy H200 Cloud Pricing

Crusoe Energy provides GPU cloud compute powered primarily by stranded natural gas and renewable energy sources, offering a lower-carbon alternative for AI workloads.

Why Choose Crusoe Energy for H200

  • Lower carbon footprint than traditional data centers
  • Competitive pricing due to low-cost energy sourcing
  • Purpose-built for AI/ML workloads
  • Sustainability credentials for ESG-conscious organizations

Best suited for: Organizations with sustainability mandates or ESG requirements who want GPU compute with a reduced carbon footprint.

H200 Technical Overview

ArchitectureHopper (Enhanced)
Memory141 GB HBM3e
Best ForLarge-context inference, memory-bound training, and workloads that exceed H100's 80 GB VRAM limit

The H200 uses the same Hopper GPU die as the H100 but with 76% more HBM memory (141 GB HBM3e vs 80 GB HBM3) and 43% more memory bandwidth. This makes it particularly effective for long-context LLM inference.

Pricing Analysis

Crusoe Energy's cheapest H200 option starts at $3.1500/hr, which is 24% below the market average of $4.1287/hr. Crusoe Energy currently offers on-demand pricing only for H200. This means no commitment required, but you won't access the deeper discounts available from reserved or spot pricing.

Note: Crusoe's unique energy sourcing model allows them to offer competitive pricing while maintaining a significantly lower carbon intensity than traditional cloud providers.

Market context: H200 availability is growing rapidly in 2026 as providers upgrade their H100 clusters. Pricing typically runs 20–40% above H100 equivalent configurations.

Top Alternatives to Crusoe Energy for H200

Side-by-side cost comparison vs the cheapest Crusoe Energy H200 rate ($3.1500/hr).

Provider Price/hr Type vs Crusoe Energy
RunPod $0.5000/hr On-Demand -84% cheaper vs Crusoe Energy
Lambda $2.9900/hr On-Demand -5% cheaper vs Crusoe Energy
Crusoe Cloud $3.6000/hr On-Demand +14% more vs Crusoe Energy
Nebius $3.6000/hr On-Demand +14% more vs Crusoe Energy
Corvex $3.7900/hr On-Demand +20% more vs Crusoe Energy

View all H200 providers →

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Frequently Asked Questions

How much does Crusoe Energy H200 cost per hour in 2026? +
Crusoe Energy H200 starts at $3.1500/hr (on-demand). This is below the H200 market average of $4.1287/hr — Crusoe Energy is among the more competitively priced options for this GPU. Use the GPU cost calculator to estimate total cost based on your hours and workload type.
What are the cheapest alternatives to Crusoe Energy for H200? +
There are 2 providers offering H200 cheaper than Crusoe Energy: RunPod at $0.5000/hr, Lambda at $2.9900/hr. 10 other providers offer H200 at higher rates. See the full comparison table for all H200 providers.
Does Crusoe Energy offer reserved or spot H200 pricing? +
Crusoe Energy offers 1 pricing type for H200: on-demand. With on-demand only, you pay per hour with no commitment. While you won't get reserved or spot discounts, this provides maximum flexibility for unpredictable workloads.
What workloads is Crusoe Energy H200 best suited for? +
The H200 (Hopper (Enhanced) architecture, 141 GB HBM3e) is best suited for Large-context inference, memory-bound training, and workloads that exceed H100's 80 GB VRAM limit. Crusoe Energy is a sustainable provider — Organizations with sustainability mandates or ESG requirements who want GPU compute with a reduced carbon footprint.
How much does it cost to run H200 on Crusoe Energy for a month? +
At Crusoe Energy's cheapest H200 rate of $3.1500/hr: running 24/7 costs ~$75.60/day or ~$2299.50/month per GPU. For training jobs, costs scale linearly — a 100-hour training run would cost ~$315.00. Multi-GPU configurations multiply accordingly. Use the cost calculator for precise estimates with your specific parameters.
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