A Crusoe Cloud alternative with your choice of GPU providers

See how Fluence and Crusoe Cloud compare on GPU pricing, provider choice, deployment options, and managed services for training and inference.

View available GPUs

Compare GPU costs

A Crusoe Cloud alternative with your choice of GPU providers

See how Fluence and Crusoe Cloud compare on GPU pricing, provider choice, deployment options, and managed services for training and inference.

View available GPUs

Compare GPU costs

Compare GPU capacity and hourly rates across providers and regions

Launch containers, virtual machines, or bare metal from one console

Transfer datasets and model outputs with unlimited bandwidth and zero egress fees

Compare GPU capacity and hourly rates across providers and regions

Launch containers, virtual machines, or bare metal from one console

Transfer datasets and model outputs with unlimited bandwidth and zero egress fees

Fluence vs Crusoe Cloud at a glance

Fluence

Crusoe Cloud

Best for

Provider choice and self-managed workloads

Integrated GPU compute and managed AI services

Core experience

Multi-provider GPU cloud

GPU VMs and integrated cluster operations

Deployment options

Containers, VMs, bare metal

GPU VMs, Kubernetes, Slurm, managed endpoints

Provider model

Multiple infrastructure providers

Crusoe-operated cloud regions

Platform tooling

Console, API, container and OS images

Console, API, CLI, Terraform, Command Center

Cost model

Hourly prepaid pricing; zero egress

On-demand, spot, and reserved pricing; zero egress

Compare the complete cost of GPU compute

Crusoe offers on-demand, spot, and reserved GPU instances. Fluence’s hourly prices vary by provider and deployment type. Compare GPU count, memory, storage, networking, runtime, and managed services to estimate the complete workload cost. Need another GPU model or configuration? Share your requirements and our team will get back to you.

Compare the complete cost of GPU compute

Deploy each workload on your terms

GPU containers

Launch packaged model servers, experiments, and batch jobs without maintaining a full operating system.

GPU VMs

Configure your operating system, drivers, and services for persistent applications and custom AI environments.

GPU bare metal

Access dedicated physical servers for hardware-level control, isolation, and sustained GPU workloads.

Deploy each workload on your terms

GPU containers

Launch packaged model servers, experiments, and batch jobs without maintaining a full operating system.

GPU VMs

Configure your operating system, drivers, and services for persistent applications and custom AI environments.

GPU bare metal

Access dedicated physical servers for hardware-level control, isolation, and sustained GPU workloads.

More choice across providers and deployments

Compare providers in one place

Review available GPUs, regions, and hourly rates without managing separate accounts with each infrastructure provider.

Select resources for each workload

Balance GPU count, VRAM, CPU, and storage against your application’s performance requirements and budget.

Keep your deployment workflow

Use your preferred container images and software, with provisioning and management through the Fluence console and API.

More choice across providers and deployments

Compare providers in one place

Review available GPUs, regions, and hourly rates without managing separate accounts with each infrastructure provider.

Select resources for each workload

Balance GPU count, VRAM, CPU, and storage against your application’s performance requirements and budget.

Keep your deployment workflow

Use your preferred container images and software, with provisioning and management through the Fluence console and API.

Built for the AI stack you run

Keep your preferred tools.

Production inference

Serve models with control over inference engines, batching, GPU memory, and network access.

GPU container or GPU VM

Fine-tuning pipelines

Run LoRA, QLoRA, checkpointing, and custom training workflows using your own frameworks.

GPU VM or GPU bare metal

LLM development

Evaluate model sizes, quantization formats, and serving stacks before committing compute to production.

GPU container or GPU VM

Training runs

Execute single-node or multi-GPU training with control over dependencies, datasets, and checkpoint storage.

GPU VM or GPU bare metal

Batch inference

Generate embeddings and process documents, images, or datasets through repeatable GPU jobs.

GPU container

Model research

Compare model architectures, precision settings, and context lengths in consistent, reproducible environments.

GPU container or GPU VM

AI agent inference

Host the models behind AI agents while managing your own serving stack and application data.

GPU container or GPU VM

Built for the AI stack you run

Keep your preferred tools.

Production inference

Serve models with control over inference engines, batching, GPU memory, and network access.

GPU container or GPU VM

Fine-tuning pipelines

Run LoRA, QLoRA, checkpointing, and custom training workflows using your own frameworks.

GPU VM or GPU bare metal

LLM development

Evaluate model sizes, quantization formats, and serving stacks before committing compute to production.

GPU container or GPU VM

Training runs

Execute single-node or multi-GPU training with control over dependencies, datasets, and checkpoint storage.

GPU VM or GPU bare metal

Batch inference

Generate embeddings and process documents, images, or datasets through repeatable GPU jobs.

GPU container

Model research

Compare model architectures, precision settings, and context lengths in consistent, reproducible environments.

GPU container or GPU VM

AI agent inference

Host the models behind AI agents while managing your own serving stack and application data.

GPU container or GPU VM

Compare both clouds with one workload

Start with one workload from your Crusoe Cloud environment. Measure performance, deployment effort, and total cost before moving additional services or training jobs.

Select a workload

Match GPU and memory requirements

Choose a provider and deployment type

Test under expected production load

Compare results and total cost

Compare both clouds with one workload

Start with one workload from your Crusoe Cloud environment. Measure performance, deployment effort, and total cost before moving additional services or training jobs.

Select a workload

Match GPU and memory requirements

Choose a provider and deployment type

Test under expected production load

Compare results and total cost