Launch on-demand GPUs for AI workloads

Rent GPU capacity from Fluence Cloud across providers without hyperscaler lock-in. Deploy AI workloads with predictable billing, zero egress fees, and full deployment control.

GPU

H200

Fluence

$2.80/hr

CoreWeave

$6.30/hr

AWS

$7.90/hr

Google Cloud

$10.84/hr

Launch on-demand GPUs for AI workloads

Rent GPU capacity from Fluence Cloud across providers without hyperscaler lock-in. Deploy AI workloads with predictable billing, zero egress fees, and full deployment control.

GPU

H200

Fluence

$2.80/hr

CoreWeave

$6.30/hr

AWS

$7.90/hr

Google Cloud

$10.84/hr

Battle-tested at large scale

Getting more out of every GPU is core to what we do at Tensormesh, and that starts with how we source compute. Fluence’s competitively priced capacity has helped us keep inference costs in check as we scale.

Yihua Cheng

Chief Technology Officer & Co-Founder, Tensormesh

Battle-tested at large scale

Getting more out of every GPU is core to what we do at Tensormesh, and that starts with how we source compute. Fluence’s competitively priced capacity has helped us keep inference costs in check as we scale.

Yihua Cheng

Chief Technology Officer & Co-Founder, Tensormesh

Choose the right GPU for your workload

Fluence provides the infrastructure primitives needed to run agents reliably without stitching together multiple compute products.

AI training

Train large models and run distributed ML workloads with high-performance GPUs and scalable infrastructure.

Recommended GPUs:

H100

H200

A100

AI inference

Deploy production inference pipelines with GPUs optimized for throughput, latency, and cost efficiency.

Recommended GPUs:

L40S

L4

A10

LLM development

Experiment, fine-tune, and test language models with flexible GPU infrastructure designed for developer workflows.

Recommended GPUs:

A100

RTX-class

GPUs

Rendering and simulation

Run GPU-accelerated rendering, simulation, and media workloads with high compute performance and flexible deployment options.

Recommended GPUs:

L40S

RTX-series

GPUs

Choose the right GPU for your workload

Fluence provides the infrastructure primitives needed to run agents reliably without stitching together multiple compute products.

AI training

Train large models and run distributed ML workloads with high-performance GPUs and scalable infrastructure.

Recommended GPUs:

H100

H200

A100

AI inference

Deploy production inference pipelines with GPUs optimized for throughput, latency, and cost efficiency.

Recommended GPUs:

L40S

L4

A10

LLM development

Experiment, fine-tune, and test language models with flexible GPU infrastructure designed for developer workflows.

Recommended GPUs:

A100

RTX-class

GPUs

Rendering and simulation

Run GPU-accelerated rendering, simulation, and media workloads with high compute performance and flexible deployment options.

Recommended GPUs:

L40S

RTX-series

GPUs

Request a custom GPU cluster

Need a different GPU setup or configuration? Send us your requirements and our team will get back to you.

Request a custom GPU cluster

Need a different GPU setup or configuration? Send us your requirements and our team will get back to you.

One GPU cloud across multiple providers

Access GPU capacity across multiple providers through one deployment layer. Fluence lets teams a launch, manage, and scale workloads without juggling separate cloud platforms.

One GPU cloud across multiple providers

Access GPU capacity across multiple providers through one deployment layer. Fluence lets teams a launch, manage, and scale workloads without juggling separate cloud platforms.

Select containers, VMs or bare metal

Choose the runtime model that fits your workload.

Containers

VMs

Bare Metal

Select containers, VMs or bare metal

Choose the runtime model that fits your workload.

Containers

VMs

Bare Metal

Automate with Fluence API

Deploy custom GPU infrastructure programmatically with the Fluence API. Launch custom OS images in seconds, and manage thousands of GPU servers programmatically.

Automate with Fluence API

Deploy custom GPU infrastructure programmatically with the Fluence API. Launch custom OS images in seconds, and manage thousands of GPU servers programmatically.

FAQ

What is Fluence AI?

Does Fluence charge bandwidth or egress fees for GPU workloads?

How do I automate provisioning through Fluence API?

Which GPU models and deployment options are currently available on Fluence?

How does billing work for GPU deployments on Fluence?

Show more

FAQ

What is Fluence AI?

Does Fluence charge bandwidth or egress fees for GPU workloads?

How do I automate provisioning through Fluence API?

Which GPU models and deployment options are currently available on Fluence?

How does billing work for GPU deployments on Fluence?

Show more

Be the first to know

Be the first to know