Crusoe Cloud vs Google Cloud: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Crusoe Cloud and Google Cloud. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
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.
- $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
- Primarily US-based — limited international regions
- Sales-led for large clusters
- Smaller ecosystem vs hyperscalers
No reviews yet — add yours ↗
Google Cloud's 2026 GPU lineup spans five accelerator-optimized machine series: A4X (NVIDIA GB200 Grace Blackwell Superchips, 720 GB HBM3e per 4-GPU node), A4 (NVIDIA B200, 1,440 GB HBM3e per 8-GPU node, 3,600 Gbps networking), A3 Ultra (NVIDIA H200, 1,128 GB HBM3e), A3 Mega/High/Edge (NVIDIA H100), and G4 (NVIDIA RTX PRO 6000 Blackwell, 96 GB GDDR7, GPU P2P communication). A2 series (A100 40/80 GB) and G2 (L4) remain available. AI Hypercomputer provides GKE and Slurm-integrated dense clusters. TPU v5 and v5e accelerators are available for TensorFlow/JAX workloads. Vertex AI provides managed ML pipelines. 30+ regions with sustained use and committed use discounts.
- A4X GB200 and A4 B200 — latest Blackwell hardware in cloud
- G4 RTX PRO 6000 with GPU P2P communication for inference
- AI Hypercomputer: GKE + Slurm-integrated dense clusters
- TPU v5/v5e for TensorFlow and JAX workloads
- Sustained use discounts and committed use contracts
- Vertex AI managed ML pipelines
- A4X and A4 require capacity reservation — not self-serve on-demand
- Premium pricing vs specialist GPU clouds
- Spot (preemptible) instances can be interrupted with little notice
No reviews yet — add yours ↗
Live GPU Pricing
Region Coverage
Popular Comparisons
Provider pages
More Crusoe Cloud comparisons
Key differences
Crusoe Cloud
$3.9B Series F — GB200 NVL72, B200, H200, H100, AMD MI355X with energy-first AI factories
Google Cloud
A4X (GB200), A4 (B200), A3 Ultra (H200), G4 (RTX PRO 6000) — plus TPU v5 and AI Hypercomputer