AI/ML Infrastructure Solution
Application
Description
High-performance AI/ML training and inference platform using Jintide secure CPUs with DDR5 memory and PCIe Gen5 interconnect
Core Advantages
Recommended Bill of Materials (BOM)
| Item | Part Number | Description | Quantity | Datasheet |
|---|---|---|---|---|
| 1 | Jintide-C6P | 64-core secure server CPU | 2 | 📄 Download |
| 2 | M88DR5RCD04 | DDR5 RCD for memory channels | 12 | 📄 Download |
| 3 | M88RT41632 | PCIe Gen5 retimer for I/O | 4 | 📄 Download |
| 4 | AI-Accelerator | AI/ML accelerator cards | 8 | 📄 Download |
Applications
Technical Specifications
Customer Success Stories
AI Research Institute
Research | Large Language Model Training
Challenge
Research institute needed a secure, high-performance platform for training large language models while protecting proprietary research data.
Solution
Deployed Jintide-based AI infrastructure with 6TB DDR5 memory and 8 GPUs per node. Mont-PrC security monitoring protected valuable model checkpoints.
Results
FAE Expert Insights
Dr. Sarah Liu
Principal FAE - Secure Computing
15 years
Professional Insights
AI/ML workloads have unique requirements that the Montage portfolio addresses exceptionally well. The massive memory bandwidth from 12-channel DDR5 is crucial for large model training. The PCIe Gen5 connectivity ensures accelerators receive data at full speed. Most importantly, the hardware security features protect valuable AI models from theft or tampering. I've seen customers achieve significant performance gains while maintaining security compliance for sensitive AI applications.
Key Takeaways
- Memory bandwidth is often the bottleneck in AI training
- Hardware security protects valuable AI models
- PCIe Gen5 is essential for modern GPU connectivity
- Plan for thermal management with high-power GPUs
Decision Framework
Steps:
- [object Object]
- [object Object]
- [object Object]
- [object Object]