LUISUANTECH GroundPool Hard Disk Cache Device Improve DeepSeek Big Model API Hard Disk Cache Technology Performance – Luisuantech

Faced with many challenges encountered by current storage systems in dealing with DeepSeek large model API hard disk cache, such as limited local storage capacity, file system performance bottlenecks and inference delays, the Green Computing Technology GroundPool hard disk cache device effectively improves the cache performance of DeepSeek large model API with its excellent technical advantages, and finally achieves significant optimization results.

1.1 technology to realize

1. Breakthrough of local storage limitation: GroundPool hard disk cache device effectively solves the problem of insufficient PCIe channels in local computing server through its unique “NVMe oF SSD Direct Mount Technology”. This technology converts limited PCIe lanes into RDMA network protocol transport, utilizing a single PCIe X16 lane to mount up to 24 SSD hard disk devices. This enables the stand-alone computing server to make full use of the total capacity and performance of the stacked SSD hard disk in the form of a local SSD hard disk to build a larger capacity and higher performance local SSD hard disk cache system. This innovative storage solution significantly improves the cache hit rate of a stand-alone computing server, freeing up valuable computing resources and providing a solid foundation for high-performance computing.
2. File system performance bottleneck breakthrough: traditional file system in the external output, mostly using NFS, CIFS, POSIX and other software protocols, these protocols in the data processing process need to go through CPU, memory (MEM) and kernel (Kernel) and other levels of processing, which not only increases the complexity of the system, but also leads to significant performance loss, this phenomenon is known as “data center tax”. To solve this problem, DeepSeek’s large model API hard disk caching technology uses innovative storage strategies. This technology stores the hottest data (Cache Key) directly in the local SSD hard disk, and uses the green computing technology GroundPool device to achieve a breakthrough in local storage limits, thus ensuring fast reading of high-frequency access data. For warm data (older Cache Keys), store it in an external file system so that tokens can be reloaded quickly when needed. This tiered storage strategy not only optimizes data access efficiency, but also significantly reduces dependence on traditional file systems, thus breaking through file system performance bottlenecks and improving overall system performance and responsiveness.
3. Breakthrough of reasoning delay problem: By solving the limitation of hard disk cache of single computing device, GroundPool hard disk cache device of green computing technology can effectively improve the performance of DeepSeek large model API hard disk cache technology, which is especially effective for scenarios where the model is no longer replaced after model deployment. However, in IDC intelligent computing center and other scenarios, in order to improve the utilization rate of computing power, reduce the vacancy time of computing cards and improve the oversold efficiency, it becomes a key requirement to quickly switch different user models. GroundPool hard disk cache device realizes shared model loading mode, allowing multiple computing devices and computing cards to share models and build model sharing cache (Cache), thus greatly accelerating the loading speed of models and effectively solving this problem.