Fluence review
Updated September 28, 2026 · DeployCue Editorial Team · Facts checked September 26, 2026
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Our verdict
Fluence suits developers and small teams who want decentralised compute without paying to move data out. Shared CPU starts at $2.54, GPU work starts at $2.80 an hour, and zero egress fees, unlimited bandwidth keeps transfer costs out of the bill. The trade-off is reach, since email and community runs on email and community only.
Key facts
- Best for
- Decentralised compute with cheap transfers
- GPU models
- NVIDIA H200, NVIDIA H100, A100, L40s, L4, A10, RTX-class↗
- GPU hour from
- $2.80↗
- Billing granularity
- Hourly↗
- Egress fee
- zero egress fees, unlimited bandwidth↗
- Free credits
- Free compute credits for TON-based projects, and credits for shared use cases↗
- Compliance certifications
- GDPR, ISO 27001, SOC2↗
- Legal entity
- Cloudless Labs↗
- Founded
- 2017↗
- Support channels
- Email, Community↗
- Pricing model
- Hourly billing
- Official website
- fluence.network
VPS
- Entry price
- $2.54↗
- Entry plan
- 2 vCPU, 2 GB RAM↗
- Bandwidth allowance
- Unlimited↗
- Billing models
- Monthly, Hourly↗
- Server types
- VPS, Bare-metal↗
- Operating systems
- Linux↗
Facts checked September 26, 2026, 7 sources
Apps and profiles
- Elsewhere
Pros and cons
Pros
- Shared CPU entry of $2.54 on a 2 vCPU, 2 GB RAM plan
- GPU hours start at $2.80 across NVIDIA H200, NVIDIA H100 and A100
- zero egress fees, unlimited bandwidth
- Certifications listed as GDPR, ISO 27001 and SOC2
Cons
- Support runs on email and community only
- The operating system listed is linux
- Shared CPU bills monthly and hourly from an entry price of $2.54
Who it suits
- Developers who want GPU capacity without a long commitment
- Small teams that care about transfer costs more than fleet size
- Linux workloads that fit vps and bare metal
Who should look elsewhere
- Salad, for a much wider consumer card list covering NVIDIA RTX 3060, NVIDIA RTX 3070 and NVIDIA RTX 3070 Ti
- SberCloud, if you want datacenter parts such as B300, H100 and A100 on conventional cloud terms
- ComputePrices.com, if you prefer checking H100 SXM, A100 SXM and H200 prices across many providers first
Who runs it
Fluence is run by Cloudless Labs, founded in 2017. It builds decentralised infrastructure, and the bandwidth allowance is listed as Unlimited. Getting help runs on email and community, so most questions are answered in writing or through the community rather than by phone. Certifications listed for the platform are GDPR, ISO 27001 and SOC2.
How Fluence compares
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Fluence vs Cloudways8.7 vs 9.2
Fluence vs PlanetHoster8.7 vs 8.7
Fluence vs Acronis8.7 vs 9.9
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Fluence vs Decodo8.7 vs 9.1
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Fluence vs Proton Drive8.7 vs 8.3
Frequently asked questions
What does Fluence cost to get started?+
Shared CPU starts at $2.54 on the 2 vCPU, 2 GB RAM plan, and billing runs monthly and hourly. GPU instances start at $2.80 an hour. Because the platform states zero egress fees, unlimited bandwidth, moving data out does not add a separate line to the bill.
How is Fluence billed?+
Shared CPU plans are billed monthly and hourly, so you can hold one for a longer stretch or pay by the hour. GPU instances use the hourly model with hourly granularity, which suits short training or inference jobs that do not need a full month of capacity.
Which GPUs can I rent?+
The lineup covers NVIDIA H200, NVIDIA H100 and A100. Rates start at $2.80 an hour, so you can match the card to the job rather than take a fixed fleet. RTX-class cards fit lighter work, while the H100 and H200 sit at the top of the list.
What do the egress fees work out at?+
The stated policy is zero egress fees, unlimited bandwidth, and the bandwidth allowance is Unlimited. That keeps pulling models, datasets and logs off the network cheap, which matters for workloads that move data more than once.
What operating systems and server types are on offer?+
The documented operating system is linux, and the platform lists vps and bare metal categories. A shared CPU machine is the simple starting point, with a 2 vCPU, 2 GB RAM plan at $2.54 as the entry option. Anything needing a dedicated card moves into the GPU range instead.
Is Fluence a good fit for small teams?+
The operator is Cloudless Labs, founded in 2017, and the entry point is a 2 vCPU, 2 GB RAM plan at $2.54. Teams that want to test a workload before scaling can start there and add GPU capacity later. Free compute credits are offered for TON-based projects and for shared use cases.
Sources
- fluence.dev/docs/build/cpu_cloud/overview checked September 26, 2026
Backs: Operating systems
“You can use a pre-defined OS image from Fluence or provide a URL to a custom image.”
- fluence.dev/docs/build/gpu_cloud/overview checked September 26, 2026
Backs: Billing granularity, Pricing model
“GPU Cloud uses hourly pre-paid billing in USD. Billing periods are fixed hourly intervals”
- fluence.dev/docs/build/overview checked September 26, 2026
Backs: Server types, Support channels
“Deploy virtual machines, GPU containers, and bare metal instances”
- fluence.network checked September 26, 2026
Backs: Bandwidth allowance, Compliance certifications, Egress fee, Entry price, Free credits
“Zero egress fees and unlimited bandwidth”
- fluence.network/about-us checked September 26, 2026
Backs: Founded, Legal entity
“Fluence began in 2017 ... Fluence was founded in 2017 by Evgeny Ponomarev, Dmitry Kurinskiy, and Tom Trowbridge.”
- fluence.network/cpu-cloud/shared-cpu checked September 26, 2026
Backs: Billing models, Entry plan
“Billing cycle, Monthly, Daily”
- fluence.network/gpu-cloud checked September 26, 2026
Backs: GPU hour from, GPU models
“Request GPU Cluster], GPU, H200, Fluence, $2.80/hr”
Compiled from 7 source pages, checked September 26, 2026. We did not open an account.