Loading Comparison
Fetching pricing data and provider information...
Compare GPU and LLM inference API pricing between Crusoe and Spheron. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.03/hour between comparable GPUs
| GPU Model ↑ | Crusoe Price | Spheron Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Crusoe | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • CrusoeSpheron | ↑+$1.20(+109.1%) | |||
B200 180GB VRAM • Spheron | Not Available | — | ||
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • CrusoeSpheron | ↑+$1.77(+83.1%) | |||
H200 141GB VRAM • CrusoeSpheron | ↑+$1.49(+53.2%) | |||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • CrusoeSpheron | ↑+$0.55(+57.9%) | |||
MI300X 192GB VRAM • CrusoeSpheron | ↓$0.14(3.9%) | |||
RTX 4090 24GB VRAM • Spheron | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Spheron | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Spheron | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Spheron | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • Crusoe | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • CrusoeSpheron | ↑+$1.20(+109.1%) | |||
B200 180GB VRAM • Spheron | Not Available | — | ||
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • CrusoeSpheron | ↑+$1.77(+83.1%) | |||
H200 141GB VRAM • CrusoeSpheron | ↑+$1.49(+53.2%) | |||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • CrusoeSpheron | ↑+$0.55(+57.9%) | |||
MI300X 192GB VRAM • CrusoeSpheron | ↓$0.14(3.9%) | |||
RTX 4090 24GB VRAM • Spheron | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Spheron | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Spheron | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Spheron | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Crusoe | Spheron | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.140 in $0.280 out | Not available | — |
DeepSeek | $1.74 in $3.48 out | Not available | — |
Google | $0.140 in $0.400 out | Not available | — |
Z AI | $1.40 in $4.40 out | Not available | — |
Z AI | $0.150 in $0.500 out | Not available | — |
OpenAI | $0.050 in $0.200 out | Not available | — |
Kimi | $0.700 in $3.50 out | Not available | — |
NVIDIA | $0.050 in $0.200 out | Not available | — |
NVIDIA | $0.300 in $1.83 out | Not available | — |
NVIDIA | $0.300 in $2.40 out | Not available | — |
NVIDIA | $1.00 in $3.20 out | Not available | — |
NVIDIA | $0.050 in $0.200 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Vertically integrated power sourcing across wind, solar, hydropower, geothermal, natural gas, and carbon capture
Machines are deployed quickly when they are launched
Persistent and shared disks, object storage, and a container registry for AI datasets
Provides instances with NVIDIA SXM GPU interconnects
99.5% uptime commitment backed by 24/7 enterprise-grade support
LLM inference with up to 9.9x faster time-to-first-token and 5x higher throughput versus vLLM
Access GPU capacity from multiple cloud providers and certified data centers from one account, without separate signups per provider
Instances are billed by the minute with no minimum rental period or rounding up to the hour
Instances are typically ready in under two minutes with no approval workflow or provisioning queue
Compute spend across every connected provider is tracked in a single dashboard
Each VM or bare metal instance includes NVMe SSD storage, network bandwidth, a dedicated IP address and full root access
Spheron sources large clusters, specific hardware and InfiniBand configurations from its partner data center network, with a typical quote turnaround of 24-48 hours
High-performance GPU instances powered by NVIDIA GPUs
General-purpose and storage-optimized CPU instances for data processing
Fully managed LLM inference spanning serverless, self-serve dedicated, and tailored deployments
Pay by the hour for maximum agility and unthrottled compute
Use spare capacity at significant discounts compared to on-demand pricing
Lock in guaranteed resources at lowest rates with custom commitments
Flexible pricing for LLM inference based on token usage
Guaranteed inference capacity with AI Model Units, priced lower for longer commitments
Hourly per-GPU pricing for self-serve dedicated endpoints, with monthly and volume rates via sales
Per-token pricing tiered by the parameter count of the base model being tuned
Non-interruptible instances billed per minute with no commitment or minimum rental period
Idle capacity on the same hardware at up to 50% off dedicated rates, interruptible when the provider reclaims it
Commit to a duration for locked capacity, volume pricing and dedicated support
Quoted deployments from 8 to 512+ GPUs with specific hardware and InfiniBand configurations sourced from partner data centers
Sign up for Crusoe Cloud services through their website
Choose from available GPU types including L40S, A100, H100, H200, B200, GB200, and AMD options
Set up persistent storage options for your workloads
Deploy via the console, or provision programmatically with the Crusoe CLI or Terraform
Browse available GPU models with live pricing and filter by VRAM, architecture or price
Choose a region, storage and OS image, then deploy; instances are provisioned in around two minutes
SSH in and start working, switch to another GPU model at any time, or spin down to stop per-minute billing
Submit requirements for reserved capacity or custom clusters and Spheron sources, negotiates and sets up the deployment
Data centers sited near low-cost energy in the United States, including a large-scale campus in Abilene, Texas, plus European capacity in Iceland and Norway
Documentation, learning hub, and 24/7 enterprise-grade support with a 99.5% uptime commitment; SOC 2, ISO 27001, and ISO 42001 certifications
Capacity sourced from vetted Tier 3/4 partner data centers spanning multiple continents; region is selected at deploy time
Documentation, API reference and changelog at docs.spheron.ai, plus sales contact and call scheduling for reserved capacity and custom cluster quotes