Fluence, a decentralized compute platform, has opened public access to Fluence Console, a self-serve portal that lets developers provision GPUs across more than 70 independent data centers in over 30 regions. The move targets a growing gap in the market as AI teams face persistent capacity constraints, volatile pricing, and lengthy procurement cycles when scaling training and always-on inference.
AI infrastructure demand is changing in two important ways. Training runs continue to expand in size, while inference is increasingly becoming a permanent workload that needs stable, predictable compute. That shift is pushing more organizations to look beyond traditional hyperscale supply models, where capacity can be regional, pricing can vary sharply by configuration and commitment terms, and access to top-tier GPUs often requires longer-term contracts.
Fluence’s approach aggregates certified enterprise-grade capacity from Tier III and Tier IV facilities and exposes it through a single control plane. In practice, Fluence sources GPU inventory from multiple providers and makes it available through one console, with region-specific availability and pricing visible before deployment. Fluence says this model increases transparency and price competition by letting customers choose where to run workloads based on cost, latency, and locality.
Inventory and Deployment Options
Fluence Console currently lists more than 1,400 GPUs across 32 regions and 71 data centers, spanning popular profiles such as RTX 4090, A100 80GB, H100 80GB, H200, and L40S, depending on region and availability.
Users can deploy GPU Containers, Virtual Machines, or Bare Metal and launch infrastructure in seconds. The goal is to make it straightforward to go from selection to a running environment without bespoke vendor negotiations or one-off provisioning flows.
Example starting rates on Fluence include:
- H200 from $2.96/hr
- H100 80GB from $1.24/hr
- A100 80GB from $1.22/hr
- RTX 4090 from $0.48/hr
(Prices vary by region, configuration, and current availability.)
Transparent Pricing and Predictable Spend
Fluence is positioning transparency as a core differentiator. The company says it aims to keep spend predictable by publishing rates directly in the console and letting users compare options across locations and providers. As one benchmark, Fluence lists NVIDIA H200 at $2.96/hr, compared with published or commonly cited on-demand rates such as $6.30/hr (CoreWeave), $7.90/hr (AWS), and $10.84/hr (Google Cloud), noting that competitor pricing can vary significantly by region, instance type, and whether usage is on-demand or commitment-based.
Global Footprint and Locality Options
Because inventory is sourced from multiple independent data centers, Fluence’s GPU capacity spans a wide set of geographies. Current listings include locations across the U.S., U.K., Canada, France, Poland, Norway, Finland, Singapore, Japan, India, Germany, and Australia. Fluence says this footprint is designed to help teams place workloads closer to users, support data-locality requirements, and diversify infrastructure risk across multiple facilities rather than relying on a single provider region.
Getting Started
Fluence says new users can begin in a few steps:
- Sign in to Fluence Console.
- Choose a deployment type: GPU Containers, Virtual Machines, or Bare Metal.
- Select GPU model, GPU count, and configuration.
- Choose a region and data center.
- Top up balance and launch.
About Fluence
Fluence is a decentralized compute platform that aggregates capacity from independent, enterprise-grade data centers and provides access through a unified console. The company is focused on resilient, lower-cost compute for AI, Web3, and general-purpose workloads. Fluence has raised $14 million from investors including 1KX, Multicoin, and Tiger Global. The network is governed by the Fluence DAO, and its native token FLT is used for governance, staking, and network coordination. For more information, visit www.fluence.network.
