Snapshot
Continue to About ↓- What it does
- Fluence Cloud is a decentralized multi-provider neocloud platform that enables AI teams and developers to deploy GPU and CPU cloud infrastructure from various global providers via a single console and API.
More detail
- It focuses on offering transparent pricing, zero egress fees, no vendor lock-in, and supports workloads including AI training, inference, model serving, AI agents, web hosting, blockchain nodes, and rendering.
- Best for
- AI teams and developers seeking cost-efficient, transparent, multi-provider GPU and CPU compute infrastructure for AI workloads, including training, inference, and AI agents, as well as general-purpose hosting and blockchain nodes with predictable pricing and no egress fees.
- Pricing
- Offers transparent pricing with examples including about $2.54/month for 2 vCPU/2GB RAM VPS and GPU inference instances starting near $2.56/hour depending on GPU type and deployment mode.
More detail
- Fluence charges zero egress fees and unlimited bandwidth; however, some platform economic details such as fees,
- Main limitation
- Organizations that require a fully managed traditional hyperscaler ecosystem or detailed geographic availability guarantees beyond Fluence's multi-provider decentralized model, or those that need fully disclosed and conventional cloud procurement terms without potential account or funding constraints.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Fluence Cloud is a decentralized multi-provider neocloud platform that enables AI teams and developers to deploy GPU and CPU cloud infrastructure from various global providers via a single console and API.
- It focuses on offering transparent pricing, zero egress fees, no vendor lock-in, and supports workloads including AI training, inference, model serving, AI agents, web hosting, blockchain nodes, and rendering.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Multi-provider GPU and CPU compute deployment | Yes | Deploy compute across multiple cloud providers via one API and console. |
| Zero egress fees and unlimited bandwidth | Yes | Removes typical outbound data transfer fees common in cloud. |
| Vendor lock-in avoidance | Yes | Uses open standards to enable easy migration between providers. |
| Support for GPU containers, VMs, and bare metal | Yes | Flexible deployment options for AI inference and training. |
| GPU Cluster Auctions for capacity reservation | Yes | Enables bidding on reserved GPU clusters for planned needs. |
| Enterprise-grade compliance | Yes | Data centers comply with GDPR, ISO 27001, SOC2 standards. |
Bot trust
How confidently AI systems can verify this profile from public evidence.
58of 100
ChatGPT70/100
Claude46/100
What bots could verify
- • Independent verification of Swiss commercial registration (Fluence DAO in Zug) and named executive leadership.
- • Transparent breakdown of published base pricing alongside explicit prepaid billing and top-up mechanics.
- • Critical verification identifying that ISO 27001 and SOC 2 compliance standards are preferred rather than required for hosting providers.
What weakens trust
- • Lack of independent third-party audit reports, uptime data, or enforceable enterprise SLAs.
- • Contractual ambiguity and liability separation between operating entity Cloudless Labs and contracting entity Fluence DAO.
- • Restrictive financial terms including non-withdrawable deposits and refunds granted solely at supplier discretion.
Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- fluence.ai
Technical profile details
Record ID
ec25c30a-14d3-4319-a095-91424936a807Canonical URLhttps://profiles.scribble.network/listing/fluence-ec25c3