CXL
Scenario Solutions

Julin product SIDesigner can realize accelerated computation to realize the demand that traditional CPU cannot meet for example, high performance computing, real-time data processing application scenarios, which require the use of gas pedals such as GPU, FPGA, and so on to assist in the computation.

SIDesigner efficiently connects CPU and gas pedal devices by loading CXL's model and utilizing the CXL protocol to achieve fast data transfer and exchange. By directly connecting the gas pedal to the CPU, it avoids the bandwidth bottlenecks and latency problems associated with traditional connections via the PCIe bus and greatly improves data processing efficiency.

Julin product SIDesigner enables efficient and fast data transfer and exchange between servers and between servers and storage devices in the data center.

CXL can be used to establish a high-bandwidth, low-latency interconnect network that enables direct connections between servers and storage devices within a data center. It allows efficient data transfer and processing within the data center, improving overall system performance and resource utilizatio.

Julin product SIDesigner validates extended storage capacity and access speed.

SIDesigner realizes high-capacity, high-performance storage solutions by loading CXL's model and utilizing CXL to allow direct connection of high-speed storage devices, such as solid-state drives (SSDs). It delivers faster read and write speeds and lower access latency to meet application scenarios with increasing demand for storage.

Julin's SIDesigner product validates the transmission path for massive data processing and real-time computation for AI training and inference.

SIDesigner realizes efficient data parallel processing by loading CXL's models and utilizing CXL's ability to directly connect CPUs to up to sixty-four GPUs. It can fully utilize the parallel computing power of GPUs to speed up the training and inference process of AI models.

Julin's product SIDesigner can realize many computationally intensive tasks (e.g. machine learning, scientific computing, image processing, etc.)

SIDesigner realizes high-speed interconnection between CPU and gas pedal by loading CXL's model, realizes data sharing and consistency between gas pedal and CPU memory, and accelerates the execution of computing tasks.