Fluence review

Updated September 28, 2026 · DeployCue Editorial Team · Facts checked September 26, 2026

We earn a commission when you sign up through links on this site. Partner status can affect where a brand appears in our rankings. Partners with a live offer in your country come first, then every other brand by score.

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
LinkedIn

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
Fluence

Ready to try Fluence?

Scored 8.7 / 10 by DeployCue.

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.

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.

Fluence

Fluence

Decentralised compute with cheap transfers

8.7/10See alternatives