Ponsbloom
Decentralized inference network

Private AI,
in bloom on idle Macs

Ponsbloom connects over 100 million Apple Silicon machines sitting idle directly to AI demand. Prompts are encrypted end-to-end, every answer is signed by hardware you can verify. OpenAI-compatible. ~50% cheaper than centralized APIs — operators keep 95% of revenue.

CA: Coming soon @darkbloomfun
Your appOpenAI-compatible
E2E encrypted
Ponsbloom coordinatorroutes · attests · settles
signed hardware proof
Verified MacsM1 → M5 · never see your data
Why Ponsbloom

Three layers of markup, removed

AI compute today flows through GPU makers → hyperscalers → API providers, each taking a cut. Meanwhile 100M+ consumer Macs idle ~18 hours a day. Ponsbloom collapses the supply chain to a single hop — encrypted demand in, signed answers out.

100M+
idle Apple Silicon machines
~70%
cheaper than centralized APIs
18hrs
average daily idle time per Mac
0%
platform fee for operators
Approach

Trust, without access

Operators run your inference — they cannot see your data. Every path from prompt to answer that an operator could observe has been eliminated.

01 — ENCRYPTION

Encrypted end-to-end

Requests are encrypted on your device. The coordinator routes ciphertext — only the target node's hardware-bound key can decrypt it.

02 — HARDWARE

Hardware-verified

Every node holds a key generated inside Apple's tamper-resistant Secure Enclave. Attestation traces back to Apple's root certificate authority.

03 — RUNTIME

Hardened runtime

Inference is locked at the OS level: debugger attachment blocked, memory inspection blocked, no shell access. Nothing to extract from a live process.

04 — OUTPUT

Traceable to hardware

Every response is signed by the exact machine that produced it. The full attestation chain is published for independent verification.

Implementation

OpenAI-compatible API

Point your existing OpenAI SDK at Ponsbloom and go. Streaming, function calling, speech-to-text — same shape, lower cost, hardware-verified.

quickstart.py
from openai import OpenAI

client = OpenAI(
    base_url="https://api.ponsbloom.ai/v1",
    api_key="<your-api-key>",
)

stream = client.chat.completions.create(
    model="gemma-4-26b",
    messages=[{"role": "user", "content": "Explain zero-knowledge proofs"}],
    stream=True,
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
Pricing

Per-token. No subscriptions.

Idle hardware has near-zero marginal cost — savings pass straight through to you.

ModelInput / 1MOutput / 1MSavings
Gemma 4 26B
Fast multimodal MoE — 4B active
$0.042$0.084$0.22$0.4450%
Qwen 3.5 27B
Dense frontier reasoning
$0.10$0.20$0.78$1.5650%
Qwen 3.5 122B MoE
10B active — best quality
$0.13$0.26$1.04$2.0850%
Nemotron 3.5 Lightning
NVIDIA — low latency
$0.065$0.13$0.18$0.3650%
GPT-OSS 20B
OpenAI open weights
$0.02$0.04$0.10$0.2050%
Speech-to-Text
Cohere Transcribe · per audio minute
$0.0010$0.002050%
For operators

Your Mac earns while you sleep

Install the agent, keep your Mac plugged in, collect USD. You keep 95% of revenue — Ponsbloom takes no platform fee — roughly 90% profit margin after electricity.

STEP 1

Install the agent

One command. The agent handles enrollment, attestation, and model serving on macOS.

STEP 2

Stay plugged in

Scheduling is built in — serve only when your machine is idle, on power, or on your own hours.

STEP 3

Get paid in USD

Earnings accrue per token served. Track everything live in the operator console.

Available models

Curated, attested, ready

Gemma 4 26BGoogle — fast multimodal MoE, 4B active paramsTEXTVISION
Qwen 3.5 27BAlibaba — dense frontier reasoningTEXTTOOLS
Nemotron 3.5 LightningNVIDIA — latency-optimizedTEXT
GPT-OSS 20BOpenAI open weightsTEXTTOOLS
Cohere TranscribeSpeech-to-text, hardware-verifiedAUDIO

Start in under a minute

Sign in with email, get an API key, make your first private call — or plug your Mac into the network and start earning tonight.

Open Console ↗