GPU CloudUnclaimed

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.

Independently observed

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.

Pricing as of verify at live pricing ↗Independently observed
from $0.06/GiB object storage/moHybrid

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

From $1.50/GPU-hr to $4.29/GPU-hr on-demand; spot and reserved options available
monthly

Pay hourly for GPU compute without lock-in

  • Latest high-performance GPUs
  • Unthrottled compute
  • NVIDIA GB200 NVL72
  • AMD MI355X support

CPU Instances

$0.04–$0.09/vCPU-hr

Hourly billing for CPU-based compute

  • 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

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

Input/output token pricing varies by model; from $0.05 to $5.00+ per 1M tokens

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

$5.50/GPU-hr; volume and monthly rates available

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 sales
Contact sales

Dedicated endpoints with optimization and benchmarking support

  • Direct team support
  • Highest optimization
  • Benchmarked endpoints
  • Bring your own model

Provisioned Throughput

Contact sales
Contact sales

Guaranteed throughput for generative AI applications using AI Model Units (AMUs)

  • Guaranteed throughput
  • Discounts for longer commitments

Managed Kubernetes

Per-cluster-hour pricing (specific rates not listed)

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.

Capabilities
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
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
  • Web
Deployment
  • Cloud / SaaS

Crusoe Cloud alternatives

Other gpu cloud we track, ranked by the same independent score.

All Crusoe Cloud alternatives, ranked →

Compare Crusoe Cloud

Side by side against other gpu cloud, attribute by attribute, with a source on every value.

Independent · unbought · dated

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.

Balanced composite 55 / 100
medium · 65%updating
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Pricing transparency750.086.3
Price level800.054.2
Capabilities810.054.0
Reliability250.071.8
Security posture250.071.8
Integrations00.040.0-

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

AttributeValueEvidence
CapabilitiesMulti region: Yes · Pricing model: on-demand-published · Slurm support: Yes · Amd gpu support: Yes · Max cluster scale: multi-node-cluster · Kubernetes support: Yesmediumsource · 2026-08-25 · 60%

Market

AttributeValueEvidence
AvailabilityPrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: …highsource · 2026-08-25 · 75%

Pricing

AttributeValueEvidence
Free tierNomediumsource · 2026-08-25 · 60%
Modelcommercialmediumsource · 2026-08-25 · 60%
Price levellowmediumsource · 2026-08-25 · 60%
Starting priceAmount: 0.06 · Currency: USDmediumsource · 2026-08-25 · 60%
TransparentYesmediumsource · 2026-08-25 · 60%

Reliability

AttributeValueEvidence
Sla pct99.5mediumsource · 2026-08-25 · 60%

Security

AttributeValueEvidence
Iso27001Yeslowsource · 2026-08-17 · 48%