Decentralized Compute Network
AI Resource Unit (RTU) and Solana DEX-Powered Market
DeepSol defines the AI Resource Unit (RTU) as a comprehensive metric that bundles 1 GPU-second of computation, 1GB of VRAM, and 10MBps of bandwidth. This holistic measure accurately reflects the resource consumption of AI tasks. The Solana DEX-powered spot market for RTU trading enables flexible resource allocation, allowing suppliers to list RTUs based on availability and demand, and buyers to procure resources according to their budget and urgency.
Dynamic Scheduling and Elastic Compute Fabrics: DeepSol's architecture optimizes resource usage through dynamic scheduling and elastic compute fabrics. The system employs a modified Hungarian algorithm for task matching within 200ms, considering computational, memory, and bandwidth requirements. This dynamic cross-region scheduling optimizes resource allocation, minimizes latency, and maximizes efficiency.
Cost-Effective Operations: By intelligently distributing workloads across regions and adjusting resources in real-time, DeepSol achieves high performance while maintaining cost-effectiveness. The elastic compute fabric ensures that resources are utilized efficiently, reducing operational costs for users and developers.
[Unit #X7F3]
• Compute Type: FP32+TensorCore Hybrid
• Real-time Load: 61%
• Resource Price: $0.083/TFLOPS
[Unit #A9C1]
• Compute Type: INT8 Inference Specialized
• Real-time Load: 42%
• Resource Price: $0.067/TFLOPS
[Unit #C5D6]
• Compute Type: INT4 Inference Optimized
• Real-time Load: 38%
• Resource Price: $0.059/TFLOPS
[Unit #F2G7]
• Compute Type: FP32 High-precision Inference
• Real-time Load: 54%
• Resource Price: $0.098/TFLOPS
Recommended Configurations:
North America
Intel TDX + NVIDIA A100
Financial Models
EU
AMD SEV + AMD MI250X
Healthcare Analytics
Asia-Pacific
Hybrid TEE + Habana Gaudi2
Computer Vision
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