A Nebius alternative with GPU provider choice built in

Compare Fluence and Nebius AI Cloud on GPU pricing, deployment options, provider choice, and managed services for production training and inference.

View available GPUs

Compare GPU costs

A Nebius alternative with GPU provider choice built in

Compare Fluence and Nebius AI Cloud on GPU pricing, deployment options, provider choice, and managed services for production training and inference.

View available GPUs

Compare GPU costs

Compare GPU providers, regions, and configurations before you deploy

Run containers, VMs, or dedicated bare-metal servers through one platform

Plan GPU spend with hourly pricing, unlimited bandwidth, and zero egress fees

Compare GPU providers, regions, and configurations before you deploy

Run containers, VMs, or dedicated bare-metal servers through one platform

Plan GPU spend with hourly pricing, unlimited bandwidth, and zero egress fees

Fluence vs Nebius at a glance

Fluence

Nebius

Best for

Provider choice and self-managed AI

Integrated GPU compute and managed AI services

Core experience

Multi-provider GPU cloud

Integrated compute, storage, and orchestration

Deployment options

Containers, VMs, bare metal

GPU VMs, Kubernetes, Slurm, serverless workloads

Provider model

Multiple infrastructure providers

Nebius-managed cloud regions

Platform tooling

Console, API, container and OS images

Console, API, CLI, Terraform, SDKs

Cost model

Hourly prepaid pricing; zero egress

Per-second compute; spot and commitment options

Compare GPU costs beyond the hourly rate

Nebius combines GPU compute with managed cloud services. Fluence lets you compare hourly offers from multiple providers. Compare GPU specifications, storage, runtime, and orchestration to estimate the total cost of running your workload. Need another GPU model or configuration? Share your requirements and our team will get back to you.

Compare GPU costs beyond the hourly rate

Choose the deployment your workload requires

GPU containers

Launch containerized inference services, experiments, and batch jobs without maintaining a complete operating system.

GPU VMs

Configure the operating system, drivers, and services required by your training or inference stack.

GPU bare metal

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

Choose the deployment your workload requires

GPU containers

Launch containerized inference services, experiments, and batch jobs without maintaining a complete operating system.

GPU VMs

Configure the operating system, drivers, and services required by your training or inference stack.

GPU bare metal

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

One GPU platform, more provider choice

Compare providers through one account

Review GPU models, locations, and prices across providers without setting up separate cloud accounts.

Decide how each workload runs

Use containers for packaged services, VMs for system access, or bare metal for dedicated hardware.

Standardize GPU provisioning

Use one API for plan discovery, deployment, and instance management across supported providers and workload types.

One GPU platform, more provider choice

Compare providers through one account

Review GPU models, locations, and prices across providers without setting up separate cloud accounts.

Decide how each workload runs

Use containers for packaged services, VMs for system access, or bare metal for dedicated hardware.

Standardize GPU provisioning

Use one API for plan discovery, deployment, and instance management across supported providers and workload types.

GPU compute for the stack you run

Bring your preferred tools.

Production inference

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

GPU container or GPU VM

Fine-tuning pipelines

Train adapters, save checkpoints, and repeat experiments using your own frameworks and datasets.

GPU VM or GPU bare metal

LLM development

Evaluate open models, quantization formats, and serving frameworks before scaling your application.

GPU container or GPU VM

Training runs

Run single-node or multi-GPU training with control over dependencies, data loading, 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 architectures, context lengths, and precision settings while keeping experiment environments consistent.

GPU container or GPU VM

AI agent inference

Self-host the models behind AI agents while controlling the serving runtime and application data.

GPU container or GPU VM

GPU compute for the stack you run

Bring your preferred tools.

Production inference

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

GPU container or GPU VM

Fine-tuning pipelines

Train adapters, save checkpoints, and repeat experiments using your own frameworks and datasets.

GPU VM or GPU bare metal

LLM development

Evaluate open models, quantization formats, and serving frameworks before scaling your application.

GPU container or GPU VM

Training runs

Run single-node or multi-GPU training with control over dependencies, data loading, 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 architectures, context lengths, and precision settings while keeping experiment environments consistent.

GPU container or GPU VM

AI agent inference

Self-host the models behind AI agents while controlling the serving runtime and application data.

GPU container or GPU VM

Evaluate both platforms with one workload

Run one workload from your Nebius environment on Fluence before making a broader move. Compare performance, deployment effort, and total cost under representative conditions.

Select a workload

Match GPU and memory requirements

Choose a provider and deployment type

Test under expected production load

Compare performance and total cost

Evaluate both platforms with one workload

Run one workload from your Nebius environment on Fluence before making a broader move. Compare performance, deployment effort, and total cost under representative conditions.

Select a workload

Match GPU and memory requirements

Choose a provider and deployment type

Test under expected production load

Compare performance and total cost