Crusoe Cloud vs Voltage Park
No leader: the top candidate Voltage Park has only 0.33 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for gpu cloud. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Crusoe Cloud
A cloud infrastructure provider offering GPU compute, managed Kubernetes, and serverless services for large-scale AI workloads. Users can run open-source models, fine-tune proprietary models, or serve inference endpoints with published pricing and flexible commitment options.
Voltage Park
A cloud infrastructure service providing on-demand and reserved access to NVIDIA H100 GPUs for AI training, model development, and machine learning applications, with options for both pay-as-you-go and long-term contract pricing.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Crusoe Cloud
Hybrid usage-based model: on-demand GPU compute ($1.50–$4.29/GPU-hr), spot and reserved options, serverless inference and fine-tuning (per-token pricing), storage ($0.06–$0.10/GiB/month). No stated free tier.
- GPU Instances — On-DemandFrom $1.50/GPU-hr to $4.29/GPU-hr on-demand; spot and reserved options available
- Latest high-performance GPUs
- Unthrottled compute
- NVIDIA GB200 NVL72
- AMD MI355X support
- CPU Instances$0.04–$0.09/vCPU-hr
- Data processing
- Model checkpointing
- Cluster orchestration
- Storage$0.06–$0.10/GiB/month
- Persistent disks
- Shared disks
- Container registry
- Object storage
- Serverless Fine-Tuning$0.40–$10.00 per 1M input tokens
- One-click deployment
- No cluster provisioning
- No surprise bills
- Full model portability
- Serverless InferenceInput/output token pricing varies by model; from $0.05 to $5.00+ per 1M tokens
- DeepSeek V3, V4 Pro, V4 Flash
- Gemma, GLM, GPT-OSS, Kimi K2.6
- Llama 3.3, Nemotron 3 family
- Qwen 3
- Up to 9.9x faster time to first token
- +1 more
- Self-Serve Deployments$5.50/GPU-hr; volume and monthly rates available
- Deploy in minutes
- Open or fine-tuned models
- No infrastructure overhead
- Tailored DeploymentsContact sales
- Direct team support
- Highest optimization
- Benchmarked endpoints
- Bring your own model
- Provisioned ThroughputContact sales
- Guaranteed throughput
- Discounts for longer commitments
- Managed KubernetesPer-cluster-hour pricing (specific rates not listed)
- Full cluster management
- GPU and CPU orchestration
- Autoscaling
- Fault tolerance via AutoClusters
Voltage Park
From $1.99/hour per GPU for on-demand, or custom pricing for reserved 6+ month commitments. Fully transparent pricing with no hidden fees.
- On-Demand Ethernet$1.99/hour per H100 GPU
- 1-1016 H100 GPUs
- Self-serve provisioning
- Up within 15 minutes
- No minimum contracts
- No hidden fees
- On-Demand InfiniBandHourly billing with high-bandwidth InfiniBand
- 8-1016 H100 GPUs
- 3200 Gbps InfiniBand
- Self-serve
- Up within 15 minutes
- No minimum terms
- Dedicated ReserveContact sales
- 32-8000+ H100 GPUs
- 3200 Gbps InfiniBand
- 6+ month contracts
- Friendly payment terms
- Capacity assurance
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.