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Energy Efficiency Architecture

The distributed architecture implements several technical approaches to achieve energy efficiency compared to traditional centralized models.

Special Usecase = energy efficient "hero" app​

Why the Hero Personal Agent can be upto 10x More Energy Efficient

The Hero Personal Agent is not just smarter, it’s radically more sustainable.

Here's a breakdown of how we achieve this dramatic energy efficiency, rooted in technical design choices across storage, compute, and network presence.

Compute Efficiency: Less Overhead, More Focused Work​

Typical cloud applications involve many layers of software abstraction, leading to excessive context switching and CPU waste.

Hero runs on a stateless, minimal operating system (Zero-OS), with each node running thousands of microservices without unnecessary virtualization or kernel level noise.

  • Less context switching = more efficient CPU cycles per task.
  • Near-zero idle CPU usage due to event-driven architecture.

Result: More work done with fewer watts, your Hero runs lean.

Existence Model: One Copy, Not Hundreds: the most important factor​

In conventional cloud setups, your digital assistant or app might exist in multiple copies across services, backups, regions, etc. That’s a lot of redundant computation.

You exist 100x, facebook, linked in, google, ...

Hero Apps follow a “single-instance” model:

  • Your assistant exists once on the decentralized grid.
  • It is stateful, reliable, and doesn’t need to be duplicated across data centers.
  • It’s available to you anywhere, but doesn’t spin up new processes all over the web.

Result: One Hero = one compute instance. Not 100.

Efficient Storage Architecture: Less Hardware, Slower Disks, Same Reliability​

Traditional storage systems replicate data 3 or more times (blockchain much more) across disks. Hero’s infrastructure uses forward-looking error correcting codes, which achieve the same or better reliability using far fewer disks.

  • Up to 5x fewer disks are needed to store the same amount of data.
  • We use “green” slow-spinning disks. These disks are cheaper, use far less power, and can have longer lifespans if in liquid cooling.

Result: Less storage hardware, lower energy per byte stored.

Energy per Hero: Less Than 1 Watt​

A typical edge Zero-OS node on our grid typically uses 60 watts.

  • A single node can run 100 to 200 Hero Apps, depending on workload.
  • This breaks down to ~0.3 to 0.6 watts per Hero App.

That’s less than a small LED lightbulb per digital assistant, while still maintaining security, responsiveness, and availability.

Result: A global digital assistant platform with minimal energy footprint.

Summary Table​

ComponentTraditional SystemsHero PlatformEfficiency Gain
StorageMultiple full replicas, fast databases, each service own storagepool.Forward-corrected codes, slow green disksUp to 4-10x less disk usage
ComputeVirtualized, layered, high context switchingStateless, minimal OS, low-overheadUp to 2–5x more efficient CPU use
PresenceMany replicas across cloud zonesSingle intelligent instance10–100x reduction in duplicate compute
Energy UseHard to calculate.< 1 watt per Heroupto 10x efficiency

Energy Usage Internet per Person​

Some rough estimates:

MetricValue
Annual energy per connected person270 – 370 kWh/year
Continuous power per person (without personal devices)30.8 – 42.2 watts
Global infrastructure energy (est.)540 – 740 TWh/year
Connected population assumption2 billion people