A Fluidstack alternative for flexible GPU infrastructure
Compare Fluence and Fluidstack across GPU access, provider choice, orchestration, pricing, and infrastructure requirements for training and inference.
A Fluidstack alternative for flexible GPU infrastructure
Compare Fluence and Fluidstack across GPU access, provider choice, orchestration, pricing, and infrastructure requirements for training and inference.
Review GPU offers across providers, regions, and configurations
Choose containers, virtual machines, or bare metal for each workload
Plan spend around clear hourly rates, unlimited bandwidth, and zero egress fees
Review GPU offers across providers, regions, and configurations
Choose containers, virtual machines, or bare metal for each workload
Plan spend around clear hourly rates, unlimited bandwidth, and zero egress fees
Fluence vs Fluidstack at a glance
Category
Fluence
Fluidstack
Best for
Self-managed AI workloads and flexible infrastructure
Large dedicated training and inference clusters
Core experience
Direct infrastructure control across providers
Single-tenant AI infrastructure with managed operations
Deployment options
GPU containers, VMs, bare metal
Machine instances, managed Kubernetes, managed Slurm
Provider flexibility
Capacity across multiple providers
Infrastructure delivered and operated by Fluidstack
Platform tooling
Console, API, preset or custom images
CLI, APIs, SSO, Lighthouse observability
Cost model
Transparent hourly pricing with zero egress fees
Order-based pricing by minute, hour, or subscription
Fluence vs Fluidstack at a glance
Fluence
Fluidstack
Best for
Self-managed AI workloads and flexible infrastructure
Large dedicated training and inference clusters
Core experience
Direct infrastructure control across providers
Single-tenant AI infrastructure with managed operations
Deployment options
GPU containers, VMs, bare metal
Machine instances, managed Kubernetes, managed Slurm
Provider flexibility
Capacity across multiple providers
Infrastructure delivered and operated by Fluidstack
Platform tooling
Console, API, preset or custom images
CLI, APIs, SSO, Lighthouse observability
Cost model
Transparent hourly pricing with zero egress fees
Order-based pricing by minute, hour, or subscription
Compare the full cost of GPU compute
Fluidstack prices infrastructure through customer orders, with billing set per minute, per hour, or by subscription. Fluence shows hourly rates across providers and deployment types. Compare GPU configuration, contract term, orchestration, storage, and support before choosing an option. Need another GPU model or setup? Send us your requirements and we will get back to you.
Compare the full cost of GPU compute
Fluidstack prices infrastructure through customer orders, with billing set per minute, per hour, or by subscription. Fluence shows hourly rates across providers and deployment types. Compare GPU configuration, contract term, orchestration, storage, and support before choosing an option. Need another GPU model or setup? Send us your requirements and we will get back to you.
Run GPU workloads with the control you need
GPU containers
Deploy packaged inference, batch, and development workloads without maintaining a complete operating system.
GPU VMs
Run persistent services with full OS access, custom drivers, and system-level controls.
GPU bare metal
Use dedicated hardware for sustained training, strict isolation, and direct accelerator access.
Run GPU workloads with the control you need
GPU containers
Deploy packaged inference, batch, and development workloads without maintaining a complete operating system.
GPU VMs
Run persistent services with full OS access, custom drivers, and system-level controls.
GPU bare metal
Use dedicated hardware for sustained training, strict isolation, and direct accelerator access.
More control over how workloads run
Start with the capacity you need
Launch single-GPU or multi-GPU infrastructure without provisioning a complete managed cluster.
Choose your deployment model
Use containers, virtual machines, or bare metal based on runtime access, isolation, and hardware requirements.
Compare providers before deployment
Review available regions, GPU models, configurations, and hourly prices before launching your workload.
More control over how workloads run
Start with the capacity you need
Launch single-GPU or multi-GPU infrastructure without provisioning a complete managed cluster.
Choose your deployment model
Use containers, virtual machines, or bare metal based on runtime access, isolation, and hardware requirements.
Compare providers before deployment
Review available regions, GPU models, configurations, and hourly prices before launching your workload.
Built for self-managed GPU workloads
Fluence supports:
Production inference
Run model-serving endpoints with control over runtimes, network settings, and GPU allocation.
GPU container or GPU VM
Fine-tuning workflows
Manage adapters, checkpoints, and repeatable training runs in persistent GPU environments.
GPU VM or GPU bare metal
LLM development
Evaluate open models, quantization formats, and serving stacks with the dependencies you choose.
GPU container or GPU VM
Training runs
Run sustained single-server or multi-GPU workloads with control over software, storage, and hardware access.
GPU VM or GPU bare metal
Batch inference
Process documents, embeddings, media, and model outputs through repeatable GPU jobs.
GPU container
Model research
Compare architectures, context lengths, and precision formats in isolated, reproducible environments.
GPU container or GPU VM
AI agent inference
Host models and supporting services for agent applications while retaining control over the surrounding stack.
GPU container or GPU VM
Built for self-managed GPU workloads
Fluence supports:
Production inference
Run model-serving endpoints with control over runtimes, network settings, and GPU allocation.
GPU container or GPU VM
Fine-tuning workflows
Manage adapters, checkpoints, and repeatable training runs in persistent GPU environments.
GPU VM or GPU bare metal
LLM development
Evaluate open models, quantization formats, and serving stacks with the dependencies you choose.
GPU container or GPU VM
Training runs
Run sustained single-server or multi-GPU workloads with control over software, storage, and hardware access.
GPU VM or GPU bare metal
Batch inference
Process documents, embeddings, media, and model outputs through repeatable GPU jobs.
GPU container
Model research
Compare architectures, context lengths, and precision formats in isolated, reproducible environments.
GPU container or GPU VM
AI agent inference
Host models and supporting services for agent applications while retaining control over the surrounding stack.
GPU container or GPU VM
Try Fluence with one GPU workload
Move one representative workload and compare cost, setup, performance, and infrastructure control before expanding the deployment.
1
Choose a workload
2
Match its GPU and memory requirements
3
Select container, VM, or bare metal
4
Run under representative conditions
5
Compare cost, performance, and control
Try Fluence with one GPU workload
Move one representative workload and compare cost, setup, performance, and infrastructure control before expanding the deployment.
1
Choose a workload
2
Match its GPU and memory requirements
3
Select container, VM, or bare metal
4
Run under representative conditions
5
Compare cost, performance, and control
FAQ
How do Fluidstack and Fluence differ?
How does GPU pricing compare?
Which GPUs are available on Fluidstack and Fluence?
Do both platforms support single-GPU and multi-GPU workloads?
How does regional availability compare?
Show more
FAQ
How do Fluidstack and Fluence differ?
How does GPU pricing compare?
Which GPUs are available on Fluidstack and Fluence?
Do both platforms support single-GPU and multi-GPU workloads?
How does regional availability compare?
Show more
Run AI workloads on compute you control
Compare GPU offers across providers and choose the deployment model, region, and configuration required by your stack.