Computing Power Market Experience
Explore NeuralNet's distributed computing marketplace, experience how to buy and sell AI computing resources, and how to benefit from it.
Real-time Market Data
24-Hour Price Trend
Current Average Price
$0.42 / hour
Active Nodes
12,458
Total Transaction Volume
$1.25M
Interactive Price Discovery Mechanism
Adjust parameters to see price changes under different configurations
Estimated Price
Save 47% compared to traditional cloud services
Hardware Performance and Earnings Comparison
Consumer GPU Performance and Earnings Comparison
GPU options for individual miners
| GPU Model | Performance Index | Hourly Earnings | Monthly Earnings (720h) | ROI Period |
|---|---|---|---|---|
| NVIDIA RTX 3070 | 65 | $0.35 | $252 | ~2.5 months |
| NVIDIA RTX 3080 | 85 | $0.45 | $324 | ~2.2 months |
| NVIDIA RTX 3090 | 100 | $0.58 | $417.6 | ~3 months |
| NVIDIA RTX 4070 | 80 | $0.42 | $302.4 | ~2.3 months |
| NVIDIA RTX 4090 | 140 | $0.85 | $612 | ~2.8 months |
* Earnings are calculated based on current market prices and may vary due to market fluctuations. ROI period assumes 24/7 operation.
User Stories and Case Studies
(All names are anonymous)
Michael
"I have a high-performance gaming PC with an RTX 3090 that was sitting idle most of the time. After joining NeuralNet, I'm earning about $400 extra per month with almost no additional work."
Individual Miner
Monthly Income: $400+
Technical Deep Dive
Distributed Computing Market Architecture
Blockchain Layer
NeuralNet is built on the Solana blockchain, leveraging its high throughput (65,000+ TPS) and low transaction fees (<$0.001) to ensure efficient execution and transparent recording of market transactions. Smart contracts are written in Rust, handling resource discovery, matching, payment, and reputation management.
Resource Discovery Layer
A decentralized indexing system records all available computing nodes and their specifications (GPU model, memory, bandwidth, etc.). Dynamic routing algorithms allocate computing tasks to the most suitable nodes based on geographic location, latency, and current load.
Computation Coordination Layer
The task scheduler breaks down large AI workloads into parallelizable subtasks and distributes them across multiple nodes. The result aggregator collects and merges computation results from various nodes, ensuring data consistency and integrity. Failure recovery mechanisms automatically detect and reassign failed tasks.