Inferix

What is the Inferix Crypto?

Inferix is a decentralized GPU network leveraging blockchain technology to democratize access to computational resources for AI training and visual computing. Built on the IoTeX blockchain, the platform enables distributed GPU owners to contribute idle hardware capacity, creating a shared infrastructure layer optimized for 3D rendering, AI model development, and real-time visualization workflows.

The network supports integration with major rendering engines including Blender Cycles, V-Ray, and Unity through plugin-based tooling, focusing on latency-sensitive applications in architectural visualization, game development, and generative AI pipelines. A technical whitepaper outlines its hybrid consensus mechanism combining Proof-of-Rendering verification with fully homomorphic encryption (FHE) to balance computational integrity and data privacy.

Key Technical Components

• Decentralized Verification: Utilizes on-chain Proof-of-Rendering (PoR) protocols to validate computational outputs without exposing raw input data.
• Resource Allocation: Implements a Burn-Mint-Work (BMW) token model where $IFX is burned for service access, minted for resource contributions, and earned through verification duties.
• Hardware Ecosystem: Aggregates 500+ NVIDIA H100 GPUs and 15,000 mid-range consumer GPUs in its testnet phase.

Adoption Metrics

• Serves 260,000+ users through partnerships with 3D visualization platforms.
• Participates in NVIDIA’s Inception Program for AI startups.
• Part of a DePIN accelerator cohort focused on physical infrastructure networks.

How can I mine Inferix tokens?

The $IFX token facilitates coordination between computational resource providers and consumers through four primary mechanisms:

1. Visual Computing Contributions
   GPU owners allocate spare capacity to rendering tasks, with rewards calculated based on hardware specifications, task complexity verification via PoR checkpoints, and bandwidth contribution for distributed rendering pipelines.

2. Federated AI Participation
   Providers contribute to distributed machine learning workloads while maintaining data privacy through FHE-enabled model training. Node operators are evaluated on computational throughput, model convergence metrics, and uptime consistency.

3. Verification Node Operation
   Dedicated nodes audit network operations through heartbeat monitoring, benchmark testing against known rendering outputs, and quality-of-service analysis for latency-sensitive tasks.

4. Governance Participation
   Token holders participate in protocol upgrades via on-chain voting, with proposals ranging from BMW parameter adjustments to hardware certification standards.

How can I use the Inferix network?

For Compute Consumers

• AI Developers: Access distributed clusters for training diffusion models and large language models (LLMs) via API endpoints.
• 3D Studios: Render complex scenes through plugins for industry-standard engines and tools.
• Researchers: Utilize federated learning frameworks for privacy-preserving data analysis.

For Hardware Providers

• Data Centers: Monetize underutilized GPU inventory through prioritized task routing.
• Consumer GPUs: Participate via clients with minimum 8GB VRAM requirements.
• Validators: Operate verification nodes to audit network operations and ensure service quality.

The network currently processes thousands of daily rendering jobs and AI inference requests through its public testnet.

Inferix Funding

Raised $2.6M in a 2024 funding round led by institutional investors specializing in decentralized infrastructure. Proceeds are allocated to cross-chain interoperability development, decentralized physical infrastructure (DePIN) node certifications, and global GPU market expansion.

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