MFA Mesh
Mesh online CONCEPT
Distributed Compute · Control Plane

Turn every device on Earth
into one programmable supercomputer.

Data centers hold the raw horsepower — but the billions of phones, laptops, tablets and wearables sold in the last decade are sitting mostly idle. MFA Mesh is the control plane that tracks that fleet, contracts a slice of each device's compute, and manages security, energy, redundancy and reporting across all of it — globally, in one pane.

Devices Online
0
▲ 1.92M joined / 24h
Aggregate Compute
0
▲ 3.1% vs last week
Contributing Nodes
0
● live scheduling
Efficiency vs Data Center
0
▲ work per watt
Illustrative concept data — figures are placeholders to show the surface, not live measurements.

Device fleet vs. the world's data centers

the question from the call — who actually has more compute?

Compute under management

Estimated usable FP throughput, ten-year device cohort vs. global data-center build-out.
All data centers (global)~5.2 ZFLOPS
10-yr consumer device fleet~9.4 ZFLOPS
Mesh-addressable today (idle %)~1.6 ZFLOPS
Data centers Device mesh latency-tiered scheduling

How the work is placed

Each job is routed to the tier that fits its latency + horsepower needs.
Data-center tier
heavy training · <5ms intra-rack
28%
Edge-cluster tier
regional inference · <40ms
34%
Device-mesh tier
embarrassingly-parallel · best-effort
31%
Cold / opportunistic
overnight · charging + Wi-Fi only
7%

Device & compute tracking

every enrolled device, what it's contributing right now
Device classEnrolledContributing Avg. shareThroughputTrendState
📱Smartphones 1.41 B22.4 M8% 612 EFLOPS contributing
💻Laptops 486 M11.8 M22% 540 EFLOPS contributing
🖥️Desktops / workstations 198 M3.9 M35% 288 EFLOPS contributing
📟Tablets 274 M2.1 M11% 96 EFLOPS idle / charging
Wearables 512 M0.9 M4% 14 EFLOPS standby

Security & privacy controls

Per-device consent and isolation — the device owner is always in control.
Sandboxed execution
Each job runs in an isolated VM/enclave; no host filesystem or contacts access.
End-to-end encrypted payloads
Workloads + results sealed; the mesh sees ciphertext, never your data.
Owner consent & revocation
Opt in per device; revoke instantly. Default: charging + Wi-Fi only.
Result attestation
Redundant verification + signed proofs reject poisoned or faulty returns.
Region / data-residency fencing
Pin sensitive jobs to compliant geographies (GDPR / HIPAA).

Energy usage monitoring

Draw across the contributing fleet — and work-per-watt vs. a data center.
38.6 MW
Fleet draw
6.7×
Work / watt vs DC
71%
On renewable grid
Devices reuse power they'd draw anyway while charging — marginal energy cost is a fraction of a dedicated server.

Redundancy & health checks

devices are flaky by nature — the mesh assumes it and routes around failure

Replication

Every shard runs on N independent devices.
Replication factor
live target
3.0×
Quorum reached
last 1h
100%

Liveness

Heartbeat + drop detection across nodes.
Healthy nodes
heartbeat <30s
99.4%
Re-dispatched
dropped mid-job
0.6%

Failover

Time to re-place a job after a device vanishes.
Median re-place
p50
0.8s
Jobs lost
last 24h
0

Customizable reporting

pick the metrics, scope and cadence — export or schedule

Build a report

Tap metrics to include them.
Devices online Throughput (FLOPS) Energy draw Work / watt Redundancy Security events Cost / job Geo distribution
Scope: Global fleet Daily

Preview

Live shape of the report you're configuring.