Crusoe Cloud
Cloud platform for training, fine-tuning, and deploying AI models with a focus on performance and cost efficiency
- Also known as
- crusoe-cloud
Available worldwide
What is 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.
Crusoe Cloud pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
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-Demand
Pay hourly for GPU compute without lock-in
- Latest high-performance GPUs
- Unthrottled compute
- NVIDIA GB200 NVL72
- AMD MI355X support
CPU Instances
Hourly billing for CPU-based compute
- Data processing
- Model checkpointing
- Cluster orchestration
Storage
- Persistent disks
- Shared disks
- Container registry
- Object storage
Serverless Fine-Tuning
Customize models with proprietary data; billed by model size and token count
- One-click deployment
- No cluster provisioning
- No surprise bills
- Full model portability
Serverless Inference
Run LLMs and generative models with pay-per-token pricing
- 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
- 5x higher throughput vs vLLM
Self-Serve Deployments
Dedicated endpoints for open and fine-tuned models; no sales engagement required
- Deploy in minutes
- Open or fine-tuned models
- No infrastructure overhead
Tailored Deployments
Contact salesDedicated endpoints with optimization and benchmarking support
- Direct team support
- Highest optimization
- Benchmarked endpoints
- Bring your own model
Provisioned Throughput
Contact salesGuaranteed throughput for generative AI applications using AI Model Units (AMUs)
- Guaranteed throughput
- Discounts for longer commitments
Managed Kubernetes
Fully managed cluster for deployment and scaling across GPU and CPU resources
- Full cluster management
- GPU and CPU orchestration
- Autoscaling
- Fault tolerance via AutoClusters
What Crusoe Cloud does
The capabilities that matter for gpu cloud, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment model
- -
- Interconnect
- -
- Max cluster scale
- Multi node cluster
- Kubernetes support
- ✓
- Slurm support
- ✓
- Spot preemptible pricing
- ✓
- Per second billing
- ✗
- Reserved capacity contracts
- ✓
- Amd GPU support
- ✓
- SOC2
- -
- Multi region
- ✓
- Pricing model
- On demand published
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
Crusoe Cloud alternatives
Other gpu cloud we track, ranked by the same independent score.
- Voltage Parklow · 33%
- Vast.aiRent GPUs on-demand from a network of independent providers at variable market rateslow · 33%
- PaperspaceCloud computing platform offering GPU acceleration for building and running AI and ML models with per-second billingmedium · 62%
- DataCrunchFull-stack cloud infrastructure for the complete AI development lifecyclemedium · 64%
- RunPodA cloud computing platform designed for AI and ML workloads, allowing developers to experiment, train, fine-tune, and deploy models on shared GPU infrastructuremedium · 60%
- TensorWaveAMD Instinct GPU cloud for AI training and inferencelow · 21%
Compare Crusoe Cloud
Side by side against other gpu cloud, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Crusoe Cloud, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 75 | 0.08 | 6.3 | ✓ |
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Capabilities | 81 | 0.05 | 4.0 | ✓ |
| Reliability | 25 | 0.07 | 1.8 | ✓ |
| Security posture | 25 | 0.07 | 1.8 | ✓ |
| Integrations | 0 | 0.04 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Multi region: Yes · Pricing model: on-demand-published · Slurm support: Yes · Amd gpu support: Yes · Max cluster scale: multi-node-cluster · Kubernetes support: Yes | mediumsource · 2026-08-25 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-25 · 75% |
Pricing
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Sla pct | 99.5 | mediumsource · 2026-08-25 · 60% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Iso27001 | Yes | lowsource · 2026-08-17 · 48% |