Crusoe Cloud vs Lambda (Lambda Labs)
No clear leader: Crusoe Cloud (54.6) and Lambda (Lambda Labs) (50.1) are within the 5-point margin; treat as a tie. 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.
Lambda (Lambda Labs)
Lambda provides managed GPU computing infrastructure and dedicated supercomputer clusters for training and deploying large-scale AI models. The platform offers single-tenant clusters with exclusive hardware access, support for NVIDIA's latest GPUs, and end-to-end operational management to eliminate infrastructure burden.
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
Lambda (Lambda Labs)
Pricing not documented yet.
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.