A Vast.ai alternative for predictable GPU costs

Compare Fluence and Vast.ai on GPU pricing, bandwidth costs, provider choice, deployment options, and workload fit across containers, VMs, bare metal, and serverless inference.

View available GPUs

Compare GPU costs

A Vast.ai alternative for predictable GPU costs

Compare Fluence and Vast.ai on GPU pricing, bandwidth costs, provider choice, deployment options, and workload fit across containers, VMs, bare metal, and serverless inference.

View available GPUs

Compare GPU costs

Compare GPU capacity across providers and regions

Unlimited bandwidth and zero egress fees simplify data-heavy workload costs

Choose containers, virtual machines, or bare metal for each workload

Compare GPU capacity across providers and regions

Unlimited bandwidth and zero egress fees simplify data-heavy workload costs

Choose containers, virtual machines, or bare metal for each workload

Fluence vs Vast.ai at a glance

Fluence

Vast.ai

Best for

Production workloads with predictable costs

Broad GPU choice and market-driven pricing

Core experience

Provider choice with direct control

Marketplace search with API-native provisioning

Deployment options

Containers, VMs, bare metal

Docker instances, VMs, Serverless, dedicated clusters

Provider flexibility

Offers across infrastructure providers

Community hosts and data centers

Platform tooling

Preset or custom environments, Fluence API

Templates, CLI, SDK, REST API

Cost model

Visible hourly pricing, zero egress fees

Per-second compute plus storage and bandwidth charges

Compare the real cost of GPU compute

Vast.ai prices compute, storage, and bandwidth separately, with host-specific rates. Fluence includes unlimited bandwidth and zero egress fees. Compare the GPU configuration, expected runtime, storage, and data movement to understand the total cost of each option. Need another GPU model or configuration? Send us your requirements and our team will get back to you.

Compare the real cost of GPU compute

Run GPU workloads your way

GPU containers

Package repeatable workloads without maintaining a full operating system.

GPU VMs

Use a complete operating system for persistent services and system-level tools.

GPU bare metal

Run directly on dedicated servers for maximum hardware control.

Run GPU workloads your way

GPU containers

Package repeatable workloads without maintaining a full operating system.

GPU VMs

Use a complete operating system for persistent services and system-level tools.

GPU bare metal

Run directly on dedicated servers for maximum hardware control.

Where Fluence is different

Keep data transfer predictable

Unlimited bandwidth and zero egress fees simplify planning for datasets, checkpoints, artifacts, and model outputs.

Choose the deployment model

Use containers, VMs, or bare metal based on workload control and isolation needs.

Choose provider-operated infrastructure

Review regions, GPU models, configurations, and prices across available infrastructure providers before deployment.

Plan spend with confidence

Work from visible hourly rates instead of combining variable compute, storage, and bandwidth charges.

Where Fluence is different

Keep data transfer predictable

Unlimited bandwidth and zero egress fees simplify planning for datasets, checkpoints, artifacts, and model outputs.

Choose the deployment model

Use containers, VMs, or bare metal based on workload control and isolation needs.

Choose provider-operated infrastructure

Review regions, GPU models, configurations, and prices across available infrastructure providers before deployment.

Plan spend with confidence

Work from visible hourly rates instead of combining variable compute, storage, and bandwidth charges.

Built for GPU workloads that need control

Fluence is well suited for:

Production inference

Serve models with control over runtime configuration, networking, and transfer costs.

GPU container or GPU VM

Model fine-tuning

Run adapters, checkpoints, and repeatable training cycles on persistent dedicated GPU capacity.

GPU VM or GPU bare metal

LLM development

Test models, quantization methods, and serving frameworks in your preferred software environment.

GPU container or GPU VM

Training pipelines

Run sustained single-node or multi-GPU jobs with control over software, storage, and configuration.

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 settings, and precision formats in repeatable environments.

GPU container or GPU VM

Agent inference workloads

Host models and supporting services for AI agents while retaining infrastructure control.

GPU container or GPU VM

Built for GPU workloads that need control

Fluence is well suited for:

Production inference

Serve models with control over runtime configuration, networking, and transfer costs.

GPU container or GPU VM

Model fine-tuning

Run adapters, checkpoints, and repeatable training cycles on persistent dedicated GPU capacity.

GPU VM or GPU bare metal

LLM development

Test models, quantization methods, and serving frameworks in your preferred software environment.

GPU container or GPU VM

Training pipelines

Run sustained single-node or multi-GPU jobs with control over software, storage, and configuration.

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 settings, and precision formats in repeatable environments.

GPU container or GPU VM

Agent inference workloads

Host models and supporting services for AI agents while retaining infrastructure control.

GPU container or GPU VM

Try Fluence with one GPU workload

Keep the evaluation focused. Move one representative workload from Vast.ai and compare total cost, reliability, and infrastructure control before changing the rest of your stack.

Choose a GPU model

Select container, VM, or bare metal

Pick an available provider and region

Launch a small test workload

Compare cost, setup, and infrastructure control

Try Fluence with one GPU workload

Keep the evaluation focused. Move one representative workload from Vast.ai and compare total cost, reliability, and infrastructure control before changing the rest of your stack.

Choose a GPU model

Select container, VM, or bare metal

Pick an available provider and region

Launch a small test workload

Compare cost, setup, and infrastructure control