In the cryptocurrency industry, the protection of CUI (Controlled Unclassified Information) is crucial for technical compliance and business security. With the breakthrough advancements in AI computing power and network technology in August 2025, the protective system for CUI needs to be upgraded to a higher level. Below are the latest configuration standards currently required by the industry.
Hardware Infrastructure: High Performance and Specialization
- GPU Computing Layer
- Enterprise-level node: a single node needs to be configured with ≥ 96 cores CPU (e.g., Xeon Silver 4310), ≥ 8 high-performance GPUs (e.g., NVIDIA H100), memory ≥ 40GB, supporting FP64 (9.7+ TFLOPS) and FP16 (312+ TFLOPS) precision computing.
- Storage density: Adopting DPU acceleration architecture (such as NVIDIA BlueField-3), a single 2U node must provide ≥ 70 GiB/s bandwidth, supporting 700+ GPU parallel training.
- Storage System
- All-flash arrays need to be equipped with compressed SSDs (such as ScaleFlux CSD 5000) to achieve capacity doubling with zero loss and ensure EB-level scalability through a distributed metadata engine (such as Huari WADP).
Network Architecture: Low Latency and Ultra-Secure Interconnection
Cross-Data Center Scaling
- Using Broadcom Jericho4 chip, based on 3nm process and HyperPort technology, achieving 100 kilometers level lossless RoCE transmission, with link utilization increased by 70%.
- Build a Layer 2 RoCE network through the Spectrum-X switch, supporting 1024 nodes for horizontal scaling, with latency stable at the microsecond level.
Encryption and Congestion Control
- Hardware integrated MACsec encryption engine, ensuring line-speed security for long-distance data transmission.
- High Bandwidth Memory (HBM) buffering technology absorbs burst traffic and isolates the impact of cross-domain congestion.
Software Stack: Unified Development and Protection Interface
| Component | Requirement | Function |
|---|---|---|
| CUDA | Version ≥ 13.0, supports unified build for Arm/x86 | Cross-platform GPU acceleration compatibility |
| cuDNN | >= 9.11, optimized for Blackwell architecture | Deep Learning Operator Acceleration |
| Distributed Storage Engine | like WiDE + Tian Shu Engine | Provide POSIX/S3 multi-protocol access |
Security Operations: Trustworthy Control Across the Entire Chain
- Dynamic Quantitative Defense: Model inference uses GGUF format for real-time quantization (e.g., Q4_K_M), reducing memory usage by 52% while improving inference speed by 61%.
- Zero Trust Network: Key management based on hardware isolation (such as TPM 2.0), combined with containerized deployment (such as FastDeploy 2.0) to achieve resource sandboxing.
Future Trends: Heterogeneous Computing Fusion
- The Rise of the Arm Ecosystem: CUDA 13.0 unifies Jetson support across Arm platforms, reducing deployment costs for edge devices.
- RISC-V Preparation Compatibility: NVIDIA has reserved an architecture expansion interface to address the demand for decentralized computing power.
Conclusion
The CUI protection in the cryptocurrency industry has entered the "hyper-converged architecture" era: the hardware layer pursues a unified computing and storage system, the network layer breaks geographical limitations, and the software layer achieves cross-platform integration. Enterprises need to simultaneously upgrade to CUDA 13.0, RoCE v2 encrypted networks, and distributed storage engines in order to gain a competitive edge in compliance.
