Live GPU prices on decentralized networks

Sources: public network APIs, with the method and fetch time shown for each number.

NVIDIA H100 (80GB)

Hourly rates across decentralized networks

Akash Network
Checked 2026-10-31 21:16 UTC
$2.56/hr
range $2.04–$3.16 · 4 providers
Median of live Akash offers · How we calculate
io.net
Not verified yet
Not verified yet
Aethir
Not verified yet
Not verified yet
Render Network
Not verified yet
Not verified yet

Live decentralized GPU price directory

Prices from public network APIs, updated every 6 hours.

Model class:
Showing 3 active decentralized GPU listingsView all 20+ Akash GPU models →
NetworkGPU modelVRAMHourly rateStatusSource
Akash NetworkChain: Cosmos
NVIDIA GeForce RTX 4090 (24GB)24 GB GDDR6X
$0.36/hr+5.9%, range $0.36–$0.36
Median of live Akash offers · How we calculate
Based on 3 providers• Checked 2026-10-31 21:16 UTC
ActiveRaw data ↗
Akash NetworkChain: Cosmos
NVIDIA A100 (80GB SXM4)80 GB HBM2e
$1.49/hr→0.0%, range $1.07–$1.91
Median of live Akash offers · How we calculate
Based on 4 providers• Checked 2026-10-31 21:16 UTC
ActiveRaw data ↗
Akash NetworkChain: Cosmos
NVIDIA H100 (80GB HBM3)80 GB HBM3
$2.56/hr→0.0%, range $2.04–$3.16
Median of live Akash offers · How we calculate
Based on 4 providers• Checked 2026-10-31 21:16 UTC
ActiveRaw data ↗

Decentralized compute networks

Architectural overviews, consensus models, and technical profiles.

All networks →
Chain: SolanaFounded 2017

Render Network

Render Network is a leading decentralized GPU network founded by OTOY, originally designed for distributed 3D rendering and now expanded into generative AI inference, NeRFs, and spatial computing. It connects node operators with spare consumer and workstation GPU capacity to digital creators and ML engineers requiring scalable graphics and compute power.

Target workloads:
3D Rendering & VFXAI Inference & Image GenNeRFs & Gaussian Splatting
Chain: SolanaFounded 2023

io.net

io.net is a state-of-the-art DePIN network that aggregates underutilized GPUs from independent data centers, crypto mining facilities, and consumer nodes into unified, low-latency clusters. Built on the Ray distributed computing framework, io.net allows AI engineers to deploy massive GPU clusters for model training, fine-tuning, and scalable batch inference without long-term contracts.

Target workloads:
AI Model Training & Fine-TuningBatch & Streaming InferenceDistributed Ray Clusters
Chain: CosmosFounded 2018

Akash Network

Akash Network is a sovereign Proof-of-Stake blockchain and permissionless compute marketplace built with the Cosmos SDK. It allows any cloud provider or data center to list idle CPU, GPU, memory, and storage capacity in an open reverse auction. Developers deploy containerized Docker applications using human-readable Stack Definition Language (SDL) files, with dynamic escrow billing.

Target workloads:
LLM Serving (vLLM, Ollama, TGI)Model Fine-Tuning & LoRAGeneral Containerized Web Services
Chain: ArbitrumFounded 2021

Aethir

Aethir is an enterprise-grade decentralized physical infrastructure network (DePIN) specialized in high-performance GPU compute. Rather than relying solely on consumer hardware, Aethir aggregates enterprise-grade NVIDIA H100, A100, and RTX cards distributed across global data center providers, delivering ultra-low latency compute for enterprise AI pipelines and interactive cloud gaming.

Target workloads:
Enterprise AI Model InferenceCloud Gaming & Real-Time RenderingInteractive Virtual Desktops

Best decentralized GPU by workload

Curated evaluations matching specific workloads with the optimal network and accelerator.

Workload guide

AI Inference

Low-latency, cost-effective serving for open-weight LLMs, vision, and speech models

Workload guide

3D Rendering & VFX

High-throughput parallel compute for OctaneRender, Blender, Cinema4D, and Unreal Engine

Workload guide

AI Model Fine-Tuning

Cost-effective training runs for LoRA, QLoRA, and domain adaptation with high-bandwidth accelerators

Recent DePIN compute developments

Sourced reporting on protocol releases, network growth and GPU pricing.

All articles →

Methodology & quality assurance

Read full methodology standards →

No sponsored placements. Prices come from public network APIs and are shown with their method and fetch time. Anything we cannot source shows as 'Not verified yet'.

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Get notes on decentralized GPU networks. Coming soon.