A Together AI alternative at 69% lower costs

Compare Fluence and Together AI across GPU pricing, provider choice, deployment control, managed AI services, and infrastructure requirements for training and inference.

View available GPUs

Compare GPU costs

A Together AI alternative at 69% lower costs

Compare Fluence and Together AI across GPU pricing, provider choice, deployment control, managed AI services, and infrastructure requirements for training and inference.

View available GPUs

Compare GPU costs

Access GPU capacity across multiple providers and regions

Run containers, virtual machines, or bare metal through one platform

Keep GPU costs clear with hourly pricing, unlimited bandwidth, and zero egress fees

Access GPU capacity across multiple providers and regions

Run containers, virtual machines, or bare metal through one platform

Keep GPU costs clear with hourly pricing, unlimited bandwidth, and zero egress fees

Fluence vs Together AI at a glance

Fluence

Together AI

Best for

Self-managed AI workloads and custom infrastructure

Managed inference, fine-tuning, and large GPU clusters

Core experience

Direct infrastructure control across providers

Managed model services and cluster operations

Deployment options

GPU containers, VMs, bare metal

Serverless and dedicated inference, dedicated containers, Kubernetes and Slurm clusters

Provider flexibility

Capacity across multiple providers

Together AI-operated infrastructure

Platform tooling

Console, API, preset or custom images

APIs, CLI, Terraform, SkyPilot, managed orchestration

Cost model

Transparent hourly pricing with zero egress fees

Per-token and per-GPU pricing across on-demand, reserved, and preemptible capacity

Compare the real cost of GPU compute

Together AI prices serverless inference by token and GPU clusters by GPU-hour. Fluence pricing varies by provider, GPU model, and deployment type. Compare the full configuration, runtime, and managed services to understand the real cost of each option. Need another GPU model or setup? Send us your requirements and we will get back to you.

Compare the real cost of GPU compute

Run GPU workloads on your terms

GPU containers

Package inference, batch, and development workloads without managing a full operating system.

GPU VMs

Use a complete operating system for persistent services, custom drivers, and system-level tooling.

GPU bare metal

Run directly on dedicated servers for long training jobs, strict isolation, and hardware-level control.

Run GPU workloads on your terms

GPU containers

Package inference, batch, and development workloads without managing a full operating system.

GPU VMs

Use a complete operating system for persistent services, custom drivers, and system-level tooling.

GPU bare metal

Run directly on dedicated servers for long training jobs, strict isolation, and hardware-level control.

Where Fluence gives you more control

Choose the infrastructure layer

Select containers, VMs, or bare metal according to the runtime access, isolation, and control required by each workload.

Compare offers across providers

Review GPU models, regions, configurations, and hourly rates before deciding where to deploy.

Scale from one GPU

Use single-GPU or multi-GPU capacity when the workload does not require a complete managed cluster.

Keep your existing toolchain

Bring your preferred images, runtimes, and automation through the Fluence console and API.

Where Fluence gives you more control

Choose the infrastructure layer

Select containers, VMs, or bare metal according to the runtime access, isolation, and control required by each workload.

Compare offers across providers

Review GPU models, regions, configurations, and hourly rates before deciding where to deploy.

Scale from one GPU

Use single-GPU or multi-GPU capacity when the workload does not require a complete managed cluster.

Keep your existing toolchain

Bring your preferred images, runtimes, and automation through the Fluence console and API.

Built for self-managed GPU workloads

Fluence is well suited for:

Production inference

Operate model-serving endpoints with control over runtime configuration, networking, and GPU resources.

GPU container or GPU VM

Fine-tuning pipelines

Run adapters, checkpoints, and custom training cycles in persistent GPU environments.

GPU VM or GPU bare metal

LLM development

Test open models, quantization methods, and serving frameworks with your preferred dependencies.

GPU container or GPU VM

Training jobs

Run single-node or multi-GPU workloads with direct 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 settings, and precision formats in isolated, repeatable 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 is well suited for:

Production inference

Operate model-serving endpoints with control over runtime configuration, networking, and GPU resources.

GPU container or GPU VM

Fine-tuning pipelines

Run adapters, checkpoints, and custom training cycles in persistent GPU environments.

GPU VM or GPU bare metal

LLM development

Test open models, quantization methods, and serving frameworks with your preferred dependencies.

GPU container or GPU VM

Training jobs

Run single-node or multi-GPU workloads with direct 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 settings, and precision formats in isolated, repeatable 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

Test Fluence with one GPU workload

Recreate one representative workload and compare cost, setup, performance, and infrastructure control before expanding the deployment.

Choose a workload

Match its GPU and memory requirements

Select container, VM, or bare metal

Run under production-like conditions

Compare cost, performance, and control

Test Fluence with one GPU workload

Recreate one representative workload and compare cost, setup, performance, and infrastructure control before expanding the deployment.

Choose a workload

Match its GPU and memory requirements

Select container, VM, or bare metal

Run under production-like conditions

Compare cost, performance, and control

FAQ

How do Together AI and Fluence differ?

How much can Fluence save compared with Together AI?

Which GPUs are available on Together AI and Fluence?

Do both platforms support single-GPU and multi-GPU workloads?

How does regional availability compare?

FAQ

How do Together AI and Fluence differ?

How much can Fluence save compared with Together AI?

Which GPUs are available on Together AI and Fluence?

Do both platforms support single-GPU and multi-GPU workloads?

How does regional availability compare?

Run AI workloads on infrastructure you control

Compare GPU offers across providers and choose the deployment model, region, and configuration required by your stack.

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