The Sovereign Compute Layer for Decentralized Physical Infrastructure Networks (DePIN).
Hyperion Engine is an industrial-grade, high-performance node client designed to power the next generation of decentralized networks. Built with Rust for uncompromising memory safety and concurrency, Hyperion serves as the "brain" and "hands" for DePIN hardware, orchestrating compute, storage, and networking resources with cryptographic integrity.
Designed for stability in hostile network environments and optimized for 24/7 autonomous operation, Hyperion is not just a client—it is the bedrock of the decentralized economy.
Hyperion employs a sophisticated 4-Layer Modular Architecture, ensuring scalability and isolation of concerns.
graph TD
subgraph "Hyperion Node Client"
A[Network & Transport Layer] <--> B(Core Orchestration Layer);
B --> C(Hardware Abstraction Layer HAL);
C --> D(Execution & Verification Layer);
end
- Layer 1: Network & Communication: Libp2p-based encrypted mesh networking.
- Layer 2: Core Orchestration: Asynchronous task scheduling and state management.
- Layer 3: Hardware Abstraction (HAL): Vendor-agnostic resource detection (GPU/NPU/CPU).
- Layer 4: Execution & Verification:
- Pluggable runtimes (AI Inference, Rendering, ZK-Proving).
- PoPW (Proof of Physical Work): Integrated TEE and ZK-SNARK interfaces for verifiable compute.
Hyperion Engine is built upon a rigorous understanding of distributed computing physics, specifically regarding bandwidth and latency constraints. We prioritize Embarrassingly Parallel workloads that generate real yield, rejecting technically infeasible marketing hypes.
-
AI Inference at the Edge
- Logic: Leveraging high-VRAM consumer GPUs (e.g. , RTX 4090 24GB) to serve LLMs (7B/13B/70B-Int4).
- Advantage: Built-in optimized runtimes (vLLM/Candle compatible) ensure millisecond-level latency for web requests. This is the primary cash-flow generator in DePIN.
-
ZK Proving (Zero-Knowledge Mining)
- Logic: Handling heavy mathematical computations (MSM, NTT) required by Ethereum Layer 2 zkRollups. These tasks are compute-intensive but bandwidth-light.
- Advantage: "ZKP Prover Market Ready" architecture allowing nodes to monetize compute by generating validity proofs.
-
Distributed Rendering
- Logic: Frame-independent rendering tasks where no inter-node communication is required.
- Advantage: Seamless integration with Blender/Cinema4D backend pipelines.
- LLM Pre-training: Due to the ~1000x bandwidth gap between consumer fiber (1Gbps) and data center interconnects (NVLink 900GB/s), decentralized networks are physically unsuitable for parameter-dense training. Hyperion focuses on the pragmatic Inference and Fine-tuning markets.
- 🚀 Rust-Native Performance: Zero-cost abstractions and memory safety without garbage collection pauses.
- 🛡️ Proof of Physical Work (PoPW): Cryptographically verifiable proofs ensuring hardware integrity and task completion.
- 🔌 Modular Execution Runtimes: Swap computation engines (e.g., Candle for AI, Wasmtime for general compute) without rebuilding the core.
- 🌐 Autonomous P2P Discovery: Robust peer discovery and DHT-based routing.
Experience the real-time heartbeat of the Hyperion Network. Our global dashboard tracks active nodes, GPU telemetry, and task distribution across the globe.
Explore Global Live Dashboard →
- Rust (latest stable)
- CMake (for building native dependencies)
- NVIDIA Drivers (optional, for GPU HAL features)
git clone https://github.com/your-org/hyperion_engine.git
cd hyperion_engine
cargo build --releaseStandard Mode (Real Network)
cargo run --bin hyperion_engineDemo Mode (Simulation)
Run with the --demo flag to simulate task allocation, computation, and rewards without connecting to a live network. Perfect for presentations.
cargo run -- --demoDistributed under the Apache License, Version 2.0. See LICENSE for more information.