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.
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
GPU instance type: h200
H200
Fluence
Fluence
$2.80/hr
$2.80/hr
CoreWeave
Core Weave
$6.30/hr
$6.30/hr
AWS
AWS
$7.90/hr
$7.90/hr
Google Cloud
Google Cloud
$10.84/hr
$10.84$
nodes.garden
nodes.garden
Battle-tested
at large scale
Fluence unlocks a new level of speed and autonomy for SpoonOS developers. With on-demand access to decentralized, enterprise-grade compute, they can deploy AI agents faster, scale globally, and stay in full control. It’s a leap toward a decentralized AI future—open, efficient, and developer-owned.
John Wang
HEAD OF NEO ECOSYSTEM GROWTH
MANAGING DIRECTOR OF NEO ECOFUND
Battle-tested
at large scale
Fluence unlocks a new level of speed and autonomy for SpoonOS developers. With on-demand access to decentralized, enterprise-grade compute, they can deploy AI agents faster, scale globally, and stay in full control. It’s a leap toward a decentralized AI future—open, efficient, and developer-owned.
John Wang
HEAD OF NEO ECOSYSTEM GROWTH
MANAGING DIRECTOR OF NEO ECOFUND
Battle-tested
at large scale
Fluence gives AR.IO node operators decentralized, high-performance compute that’s globally accessible and cost-efficient, running permanent gateways is now simpler, faster, and truly censorship-resistant. It’s the infrastructure backbone that aligns perfectly with our mission for a free and permanent web.
Phil Mataras
AR.IO FOUNDER
Battle-tested
at large scale
Fluence unlocks a new level of speed and autonomy for SpoonOS developers. With on-demand access to decentralized, enterprise-grade compute, they can deploy AI agents faster, scale globally, and stay in full control. It’s a leap toward a decentralized AI future—open, efficient, and developer-owned.
John Wang
HEAD OF NEO ECOSYSTEM GROWTH
MANAGING DIRECTOR OF NEO ECOFUND
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.
Train large models and run distributed ML workloads with high-performance GPUs and scalable infrastructure.
Recommended GPUs:
Recommended GPUs:
Recommended GPUs:
H100
H100
H100
H200
H200
H200
A100
A100
A100
AI inference
Deploy production inference pipelines with GPUs optimized for throughput, latency, and cost efficiency.
Deploy production inference pipelines with GPUs optimized for throughput, latency, and cost efficiency.
Deploy production inference pipelines with GPUs optimized for throughput, latency, and cost efficiency.
Recommended GPUs:
Recommended GPUs:
Recommended GPUs:
L40s
L40s
L40s
L4
L4
L4
A10
A10
A10
LLM development
Experiment, fine-tune, and test language models with flexible GPU infrastructure designed for developer workflows.
Experiment, fine-tune, and test language models with flexible GPU infrastructure designed for developer workflows.
Recommended GPUs:
Recommended GPUs:
Recommended GPUs:
A100
A100
A100
RTX-class
RTX-class
RTX-class
GPUs
GPUs
GPUs
Rendering and simulation
Run GPU-accelerated rendering, simulation, and media workloads with high compute performance and flexible deployment options.
Run GPU-accelerated rendering, simulation, and media workloads with high compute performance and flexible deployment options.
Recommended GPUs:
Recommended GPUs:
Recommended GPUs:
L40s
L40s
L40s
RTX-series
RTX-series
RTX-series
GPUs
GPUs
GPUs
Request a custom GPU cluster
Request a custom GPU cluster
Need a different GPU setup or configuration?
Send us your requirements and our team will
get back to you.
Need a different GPU setup or configuration?
Send us your requirements and our team will get back to you.
Cloud GPU on your terms
Cloud GPU on your terms
Predictable billing
Hourly rates with clear billing times and spend controls keep your costs simple and predictable.
Predictable billing
Hourly rates with clear billing times and spend controls keep your costs simple and predictable.
Freedom with no lock-in
Choose your provider, launch with preset or custom OS images, and move workloads anytime without restrictions.
Freedom with no lock-in
Choose your provider, launch with preset or custom OS images, and move workloads anytime without restrictions.
Build on Fluence AI
Use GPU Cloud for training, fine-tuning and inference. Choose the GPU configuration that fits each workload.
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.
Certified for compliance with GDPR, ISO 27001,
SOC2 standards, top-tier facilities and
high-performance servers
Select containers, VMs or bare metal
Choose the runtime model that fits your workload.
Containers
VMs
Bare Metal
Coming soon
Coming soon
Select containers, VMs or bare metal
Choose the runtime model that fits your workload.
Containers
VMs
Bare Metal
Coming soon
Coming soon
Select containers, VMs or bare metal
Choose the runtime model that fits your workload.
Containers
VMs
Bare Metal
Coming soon
Coming soon
Automate with Fluence API
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.
Find providers, 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?
Show more
What is Fluence AI?
How does billing work for GPU deployments on Fluence?
Does Fluence charge bandwidth or egress fees for GPU workloads?
How do I automate provisioning through Fluence API?
Show more
Start your journey
Join the Fluence
Community
Deploy faster. Pay less. Build without lock-in.
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
nodes.garden
Battle-tested
at large scale
Fluence unlocks a new level of speed and autonomy for SpoonOS developers. With on-demand access to decentralized, enterprise-grade compute, they can deploy AI agents faster, scale globally, and stay in full control. It’s a leap toward a decentralized AI future—open, efficient, and developer-owned.
John Wang
HEAD OF NEO ECOSYSTEM GROWTH
MANAGING DIRECTOR OF NEO ECOFUND
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.
Cloud GPU on your terms
Predictable billing
Hourly rates with clear billing times and spend controls keep your costs simple and predictable.
Freedom with no lock-in
Choose your provider, launch with preset or custom OS images, and move workloads anytime without restrictions.
Build on Fluence AI
Use GPU Cloud for training, fine-tuning and inference. Choose the GPU configuration that fits each workload.
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
Coming soon
Coming soon
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?
Show more