Distributed AI · Verified Edge Compute · Public Beta

From the Warehouse
to the Pocket:
The 1.3% Solution.

Swarm turns smartphones, laptops, and desktops into a distributed AI compute network using hardware people already own. Our scale thesis: capture 1.3% of the mobile market or 0.5% of high-end desktops to match roughly 1 Gigawatt of compute capacity, without building another hyperscale facility.

1.3%
Mobile market needed
to replace 1 GW
0
Cubic meters of concrete
vs. hyperscale
~7B
NPU-capable devices
currently idle
USD
Provider earnings
direct ledger accounting
The Hyperscale Wall

Centralized AI is hitting
a physical ceiling.

Bigger models demand bigger warehouses, more megawatts, more water, and more steel. The marginal cost of intelligence is now measured in gigawatts and aquifers.

12%of the US power grid

projected to be consumed by data centers by late 2026, outpacing residential growth.

30×residential boilers

of waste heat generated by a single rack, requiring industrial HVAC and chillers 24/7.

Bn gal.of potable water

evaporated annually by hyperscale cooling towers, often in drought-stressed regions.

The Swarm Compute Network

A distributed compute network,
running on hardware you already own.

Swarm coordinates verified capacity across Windows, macOS, Linux, and Android. Workloads are routed by capability and model readiness, then verified before acceptance — turning existing hardware into useful AI infrastructure without requiring another centralized data center.

01

Nodes Join & Verify

Windows, macOS, Linux, and Android nodes report hardware capability, model readiness, runtime integrity, and availability before receiving eligible work.

02

Jobs Routed by Capability

The router matches each workload to verified nodes that can execute the required task and model tier, while respecting platform, trust, and availability policy.

03

Verified Work Earns USD

Providers earn a USD-denominated share of verified completed work. Earnings are recorded directly in USD and tracked through the provider ledger.

Node Speed Test & Earnings Estimator

Test Your Device. See What It Can Earn.

Run a quick browser pre-check to estimate your device level, eligible task lanes, and potential USD-denominated earnings. The installed node app performs the final hardware, model, runtime, and policy verification.

Provider earnings are accounted and displayed directly in USD, with no reference market price.

Windows, ActiveAndroid, ActivemacOS, ActiveLinux, Active
Standby
0
% Complete
Test Stages
  • Scanning CPU
  • Checking RAM
  • Measuring storage
  • Detecting GPU / NPU
  • Estimating runtime class
  • Calculating earning range
Device Summary
Awaiting test
Operating system
Memory / RAM
CPU cores
GPU
Browser storage signal
Not reported
USD Provider Accounting
Verified work. USD-denominated earnings.

Provider earnings are recorded directly in USD based on verified completed work. The estimator requests USD-denominated ranges directly and does not use a reference market price or speculative market value.

USD-native ledger
Estimated Daily USD Earnings · Preview

Run the test to request a USD-denominated earning range based on your likely node level, eligible task lanes, uptime, and network demand. Final eligibility is determined by the installed node app and backend policy.

8h uptime
Run test
USD estimate
12h uptime
Run test
USD estimate
16h uptime
Run test
USD estimate
24h uptime
Run test
USD estimate
Swarm Node Ladder

Levels 1–5 live ladder, Level 6 roadmap

Windows · macOS · Linux · Android active · capability depends on hardware and model verification
Level 1Active
Deterministic Node
Structured extraction, web/data scraping, deterministic compute, validation, and lightweight task execution.
Exact-Extraction · Data-Scraper · Distributed-Compute
No model required
Level 2Active
Lightweight Neural Node
Low-cost neural work for devices that pass model, runtime, and hardware verification.
Neural-Inference-3B · 4B
3B–4B class local models, including Gemma 4 E2B on supported Android devices
Level 3Active
Midweight Neural Node
Medium-complexity reasoning and stronger summaries for nodes with verified midweight model capacity.
Neural-Inference-7B · 8B
7B–8B class local models
Level 4Active
Code / App Builder Node
14B-class coding, app-builder, technical review, and stronger local reasoning.
Neural-Inference-14B
Swarm Level 4 Code Pack
Level 5Active
Premium Local Reasoning Node
Higher-value local reasoning, business writing, synthesis, and multi-step workflows on high-memory nodes.
Neural-Inference-24B · 27B · 30B
Gemma 3 27B primary · Mistral Small 24B fallback · guarded 30B lanes
Level 6 · Coming Soon
Enterprise Reasoning Node
70B+ enterprise roadmap

Premium roadmap tier for high-stakes enterprise planning, complex multi-document reasoning, and legal/financial/technical review with human oversight.

Live Swarm Network
Active nodes
online

Registered nodes:

Windows
0
Android
0
macOS
0
Linux
0

Node locations are approximate and derived from recent heartbeats. This public view does not expose provider emails, wallet addresses, hardware IDs, or task data.

Three Pillars

A structurally unfair advantage.

Privacy, efficiency, and provider ownership are built into the architecture: minimize unnecessary data exposure, use existing hardware, and pay providers directly for verified work.

Privacy

Task-scoped by design.

Swarm is designed to send nodes only the workload context required for assigned work, while keeping identity, routing, and verification policy controlled by the network.

Efficiency

Passively cooled. Already built.

Smartphones dissipate heat through their chassis. Eliminate the environmental tax of industrial HVAC, refrigerants, and rare-earth mining.

Ownership

Turn idle hardware into income.

Operators earn USD-denominated rewards for verified work completed on hardware they already own, with earnings recorded directly in the provider ledger.

Technical Moat

Engineered for adversarial conditions.

Swarm is designed for an untrusted distributed environment. Node eligibility combines identity, runtime integrity, release policy, hardware capability, model readiness, and platform-appropriate attestation signals. Results can be checked through validation and consensus before acceptance.

Trust & Sybil DefenseIdentity + Attestation

Device-scoped identity, trust policy, runtime integrity, and available platform attestation signals help prevent duplicate or untrusted nodes from receiving protected work.

Verified ExecutionCheckpoint + Consensus

Checkpoint validation, output verification, and consensus policies let the network reject bad submissions before work is accepted and rewarded.

RoutingCapability-Aware Routing

Each job is matched to nodes that report the required capability, model readiness, runtime state, and trust eligibility instead of treating every device as interchangeable.

Provider Beta Access

Put your hardware to work in the Swarm provider beta.

Sign up for provider beta updates, technical previews, and node availability. No spam.