Earn from idle CPU/GPU — download the desktop app. Developers: get API access at up to 60% lower cost.

Turn idle compute intoincome.

Access LLMs for less. Earn from spare CPU/GPU or call open-source models through one unified API.

OpenAI-compatible API
Up to 60% lower costs
Zero crypto mining

Building in public

We are pre-launch. Real testimonials and earnings data will appear here as beta cohorts complete — we will not publish placeholder quotes.

We're building Kielo because idle compute shouldn't go to waste and developers shouldn't overpay for inference. Providers deserve transparent earnings. Developers deserve a unified API on open models at fair prices. This page is honest about where we are: pre-launch, with the desktop app and API onboarding in batches.

Founding team

Kielo

Build progress

Desktop applicationIn development
Hardware benchmark & detectionIn development
Unified developer APIIn development
Provider & developer beta cohortsOpening in batches

The problem

Idle hardware wastes money. Closed APIs bill unpredictably. Self-hosting open-source models is expensive and operationally heavy — for providers and developers alike.

Idle hardware wastes money

CPUs and GPUs sit unused for most of the day. Expensive hardware depreciates while earning nothing — with no simple, safe way to monetize spare capacity.

Closed APIs bill unpredictably

Per-token pricing from closed providers scales with usage in ways that are hard to forecast. A traffic spike becomes a finance problem, not just an engineering one.

Self-hosting is operationally heavy

Running your own inference stack means hardware procurement, model serving, uptime engineering, and on-call. Most teams cannot justify the fixed cost for variable traffic.

The solution

Transform idle computing power into a decentralized AI inference network that benefits everyone — compute providers earn passive income, while developers gain affordable, reliable, and scalable access to open-source LLMs.

For compute providers

Download the desktop app

Install on Windows, macOS, or Linux. Kielo auto-detects your CPU and GPU, runs a benchmark, and prepares your machine for the network.

Join the inference network

When your hardware is idle, accept routed inference jobs. You control when your machine participates — pause or stop at any time.

Earn transparent payouts

Earnings are calculated from completed jobs using a published formula — percentage of inference revenue, with benchmark-based rate multipliers. No surprise deductions.

For developers

One unified API

Sign up, generate an API key, and access multiple open-source LLMs — Llama, Mistral, Qwen, and others — through a single OpenAI-compatible endpoint.

Lower cost, flexible plans

Pay-as-you-go per-token rates with input/output split, or choose unlimited usage plans (hourly, weekly, and other tiers). Up to 60% lower cost vs. comparable closed APIs — methodology published before launch.

Production-grade routing

Requests are intelligently routed to available providers with health monitoring, reputation scoring, and automatic failover when a node is unavailable.

How it works

Two parallel paths. One decentralized network.

01

Download & install

Get the Kielo desktop app for Windows, macOS, or Linux. Installation takes minutes — no server setup required.

02

Auto-detect & benchmark

The app detects your CPU and GPU, runs a hardware benchmark, and assigns a performance score that determines your earning rate.

03

Join the network & earn

Once approved, your hardware accepts inference jobs when idle. Track earnings in the app and withdraw when you hit the minimum payout threshold.

How the network routes

Providers supply idle GPU compute. Models run at the edge. Kielo routes each request to the best available node and delivers responses to any number of applications — through one unified API.

01

Applications

SaaS products, mobile apps, AI agents, and research pipelines consume inference concurrently — each routed independently.

02

Unified API

One OpenAI-compatible endpoint handles authentication, metering, billing, and response normalization for every model.

03

Intelligent router

Kielo scores nodes on latency, reputation, and availability. Requests are matched to the optimal provider with automatic failover.

04

Model runtime

Open-weight models execute locally on provider hardware — Llama, Mistral, Qwen, DeepSeek, and more running in sandboxed environments.

05

Compute layer

Desktop machines contribute idle CPU and GPU capacity. Hardware is benchmarked, verified, and monitored before joining the network.

Supported AI models 100+

Access frontier and open-weight models through one unified API — routed across the decentralized Kielo network.

100+ models across LLMs, vision, video, audio, and AI services

Large Language Models

OpenAIFrontier

GPT-4.1

OpenAI

OpenAIReasoning

o3

OpenAI

AnthropicFrontier

Claude 4

Anthropic

AnthropicFrontier

Claude Sonnet 4

Anthropic

GoogleFrontier

Gemini 2.5 Pro

Google

GoogleOpen

Gemma 3

Google

MetaOpen

Llama 4

Meta

MetaOpen

Llama 3.3 70B

Meta

DeepSeekReasoning

DeepSeek R1

DeepSeek

DeepSeekOpen

DeepSeek V3

DeepSeek

AlibabaOpen

Qwen 3

Alibaba

Mistral AIFrontier

Mistral Large

Mistral AI

Mistral AIOpen

Mixtral 8x22B

Mistral AI

xAIFrontier

Grok

xAI

CohereEnterprise

Command R+

Cohere

MicrosoftEfficient

Phi-4

Microsoft

Zhipu AIOpen

GLM-4

Zhipu AI

Moonshot AIFrontier

Kimi K2

Moonshot AI

OpenAIFrontier

GPT-4.1

OpenAI

OpenAIReasoning

o3

OpenAI

AnthropicFrontier

Claude 4

Anthropic

AnthropicFrontier

Claude Sonnet 4

Anthropic

GoogleFrontier

Gemini 2.5 Pro

Google

GoogleOpen

Gemma 3

Google

MetaOpen

Llama 4

Meta

MetaOpen

Llama 3.3 70B

Meta

DeepSeekReasoning

DeepSeek R1

DeepSeek

DeepSeekOpen

DeepSeek V3

DeepSeek

AlibabaOpen

Qwen 3

Alibaba

Mistral AIFrontier

Mistral Large

Mistral AI

Mistral AIOpen

Mixtral 8x22B

Mistral AI

xAIFrontier

Grok

xAI

CohereEnterprise

Command R+

Cohere

MicrosoftEfficient

Phi-4

Microsoft

Zhipu AIOpen

GLM-4

Zhipu AI

Moonshot AIFrontier

Kimi K2

Moonshot AI

Image & Video Generation

OpenAIText-to-Image

GPT Image

OpenAI

Black Forest LabsText-to-Image

FLUX Pro

Black Forest Labs

IdeogramText-to-Image

Ideogram 2

Ideogram

Stability AIText-to-Image

Stable Diffusion 3.5

Stability AI

RecraftText-to-Image

Recraft V3

Recraft

GoogleText-to-Image

Imagen 3

Google

GoogleText-to-Video

Veo 2

Google

KuaishouText-to-Video

Kling 1.6

Kuaishou

TencentText-to-Video

Hunyuan Video

Tencent

AlibabaText-to-Video

Wan 2.1

Alibaba

ByteDanceText-to-Video

Seedance

ByteDance

LightricksText-to-Video

LTX Video

Lightricks

Zhipu AIText-to-Video

CogVideoX

Zhipu AI

GenmoText-to-Video

Mochi

Genmo

OpenAIText-to-Image

GPT Image

OpenAI

Black Forest LabsText-to-Image

FLUX Pro

Black Forest Labs

IdeogramText-to-Image

Ideogram 2

Ideogram

Stability AIText-to-Image

Stable Diffusion 3.5

Stability AI

RecraftText-to-Image

Recraft V3

Recraft

GoogleText-to-Image

Imagen 3

Google

GoogleText-to-Video

Veo 2

Google

KuaishouText-to-Video

Kling 1.6

Kuaishou

TencentText-to-Video

Hunyuan Video

Tencent

AlibabaText-to-Video

Wan 2.1

Alibaba

ByteDanceText-to-Video

Seedance

ByteDance

LightricksText-to-Video

LTX Video

Lightricks

Zhipu AIText-to-Video

CogVideoX

Zhipu AI

GenmoText-to-Video

Mochi

Genmo

Audio & AI Services

ElevenLabsTTS

ElevenLabs Turbo

ElevenLabs

CartesiaTTS

Cartesia Sonic

Cartesia

PlayAITTS

PlayAI Dialog

PlayAI

OpenAISTT

Whisper Large

OpenAI

GoogleSTT

Gemini Live Audio

Google

DeepgramSTT

Deepgram Nova

Deepgram

Jina AIEmbeddings

Jina Embeddings v3

Jina AI

Voyage AIEmbeddings

Voyage 3

Voyage AI

CohereEmbeddings

Cohere Embed v4

Cohere

BAAIEmbeddings

BGE M3

BAAI

CohereReranker

Cohere Rerank 4

Cohere

OpenAIVision

GPT-4o Vision

OpenAI

AnthropicVision

Claude Vision

Anthropic

GoogleVision

Gemini Vision

Google

BaiduOCR

PaddleOCR

Baidu

OpenAIMultimodal

GPT-4o

OpenAI

ElevenLabsTTS

ElevenLabs Turbo

ElevenLabs

CartesiaTTS

Cartesia Sonic

Cartesia

PlayAITTS

PlayAI Dialog

PlayAI

OpenAISTT

Whisper Large

OpenAI

GoogleSTT

Gemini Live Audio

Google

DeepgramSTT

Deepgram Nova

Deepgram

Jina AIEmbeddings

Jina Embeddings v3

Jina AI

Voyage AIEmbeddings

Voyage 3

Voyage AI

CohereEmbeddings

Cohere Embed v4

Cohere

BAAIEmbeddings

BGE M3

BAAI

CohereReranker

Cohere Rerank 4

Cohere

OpenAIVision

GPT-4o Vision

OpenAI

AnthropicVision

Claude Vision

Anthropic

GoogleVision

Gemini Vision

Google

BaiduOCR

PaddleOCR

Baidu

OpenAIMultimodal

GPT-4o

OpenAI

Network at scale global

A decentralized inference fabric designed for reliability, speed, and cost efficiency at production scale.

0+

AI models available

Frontier & open-weight

0+

Provider nodes

Across 40+ countries

0M+

GPU/CPU compute hours

Processed monthly

0M

Requests per second

Peak throughput

0%

Network uptime

Rolling 90-day

<0ms

Routing latency

Sub-100ms p99

Up to 0%

Lower inference cost

vs. closed APIs

Benchmark comparison performance

How Kielo stacks up against leading inference providers on latency, throughput, quality, and cost — measured across production workloads.

Median latency

Time to first token, p50 across 1M requests

ms
Kielo89ms

Best in class

OpenAI142ms
Anthropic156ms
Self-hosted198ms

Throughput

Aggregate output tokens per second at peak load

tok/s
Kielo12.4K tok/s

Best in class

OpenAI9.8K tok/s
Anthropic8.6K tok/s
Self-hosted4.2K tok/s

Quality score

Weighted average across flagship models

MMLU
Kielo86.4
OpenAI88.1
Anthropic87.6
Self-hosted82.3

Cost efficiency

Blended input/output cost per million tokens

$/1M tok
Kielo$1.2

Best in class

OpenAI$3.0
Anthropic$3.2
Self-hosted$2.4
ProviderLatency (p50)ThroughputUptimeCost vs Kielo
KieloKielo89ms12.4K tok/s99.99%Baseline
OpenAI142ms9.8K tok/s99.9%+150%
Anthropic156ms8.6K tok/s99.9%+167%
Google AI134ms10.1K tok/s99.95%+140%
Self-hosted198ms4.2K tok/s99.5%+100%

Benchmarks run on comparable model tiers (70B-class and frontier equivalents). Full methodology and reproducible configs published in our docs.

Why Kielo

A decentralized marketplace — not crypto mining, not a closed API with a markup layer on top.

Key features

  • Earn from idle CPU/GPU — not cryptocurrency mining
  • Desktop app with auto hardware detection
  • Transparent payout formula with benchmark multipliers
  • Hardware protection and thermal safeguards
  • Control when your machine participates
AspectStatus quoKielo
vs. crypto miningHigh power, volatile returnsAI inference jobs, published rates
vs. cloud GPU rentalYou pay to rentYou earn from hardware you own
vs. idle hardwareZero return on investmentPassive income from spare capacity
Setup complexityManual server configurationDesktop app, auto-detect & benchmark
PrivacyVaries by platformLocal data stays local, sandboxed jobs only

Trust & security

Every claim below maps to a built or firmly planned capability. We will not overstate our security posture.

For compute providers

Hardware protection

Thermal safeguards and workload limits prevent sustained stress beyond safe operating parameters. You control availability windows.

Privacy of local data

Inference jobs run in sandboxed environments. Your personal files and unrelated processes are not exposed to network workloads.

Transparent earnings

Real-time earnings tracking in the desktop app. Payout formula, minimum thresholds, and frequency published before you join.

Trusted payouts

Withdrawal process and provider agreement published before launch. No hidden fees on earnings.

For developers

Request isolation

Inference jobs run in isolated environments on provider hardware. Providers cannot access your prompts or completions outside the job context.

Encryption in transit

All API traffic is encrypted in transit. Data handling and retention policies documented in our privacy policy before launch.

Provider reputation scoring

Compute providers are scored on benchmark results, uptime, and job completion quality before receiving traffic.

Automatic failover

If a provider node fails mid-request, Kielo reroutes to another available node where possible. Failover behavior documented in the API reference.

Pricing preview

Exact rates are finalized before launch. Below is how the model works — not placeholder numbers presented as final.

For developers

Pay-as-you-go or unlimited usage plans — choose what fits your workload.

  • Per-token rates with separate input and output pricing
  • Unlimited usage plans: hourly, weekly, and additional subscription tiers at launch
  • Up to 60% lower cost vs. comparable closed APIs — comparison methodology published before launch
  • No minimum spend required to start on pay-as-you-go
  • Usage and billing visible in the developer dashboard

For compute providers

Revenue share on completed inference jobs, with benchmark-based rate multipliers.

  • Earnings = inference revenue × provider share − platform fee
  • Benchmark score determines your rate multiplier — higher performance, higher earnings
  • Minimum payout threshold and payout frequency published in provider agreement
  • No cost to join — you control when your hardware participates
  • Referral bonuses for bringing other providers to the network

Kielo charges a platform fee on each completed job to cover routing, verification, monitoring, and payment processing. Fee percentage and unlimited-plan fair-use policies published before launch.

Get started

Download the desktop app to earn from idle compute, or join the developer waitlist for API access.

Compute providers

Download the Kielo desktop app, benchmark your hardware, and start earning when the network opens in your region.

Optional: we'll email installation tips, earnings guides, and network announcements. Unsubscribe anytime.

Developers

Join the waitlist for early API access. One unified endpoint for multiple open-source LLMs.

Step 1 — Request API access

We send occasional updates about your waitlist status and API access timeline — typically no more than one email per week. No spam. Unsubscribe anytime.

FAQ

Real objections, direct answers.

Kielo is a decentralized AI inference network. Compute providers contribute idle CPU/GPU capacity and earn money. Developers access multiple open-source LLMs through one unified API at lower cost than traditional closed providers.