AI Computing Device Optimization – The Catalyst for Intelligent Computing Network Performance Enhancement

Artificial Intelligence (AI) is advancing rapidly. The AI computing centre, often referred to as the infinite brain, serves as the core infrastructure for AI model training and data processing. This makes its performance optimisation and tuning services crucial. As AI models continue to evolve and the number of model parameters increases, the AI computing centre requires greater computational power and higher network communication performance. However, challenges remain in handling the computational efficiency of large-scale distributed GPU clusters. The limitations in network communication performance often led to inefficient data processing and high maintenance costs, resulting in suboptimal outcomes.

As the saying goes, “We’ll cross that bridge when we come to it.” Embracing this philosophy, the Hermesys team has introduced specialised optimisation services for AI computing centres. These optimisations not only improve computational efficiency but also reduce operational costs, thereby supporting the rapid development of AI businesses.

Hermesys specialises in providing high-bandwidth, low-latency RoCE lossless network designs tailored for AI computing centres through effective network solutions. By configuring links and adjusting parameters, Hermesys utilises EDR, HDR, or NDR technologies to achieve optimal performance and reduced latency, thereby enhancing parallel processing capabilities. Their optimisation services for AI computing centres also support ultra-large-scale GPU clusters and facilitate high-speed server-to-server communication through optimised network architecture.

Additionally, Hermesys offers a comprehensive range of optimisation services. These include basic weak current construction, hardware power-on testing, IB network and Ethernet switch debugging, bulk server installation, and crucially, server tuning and performance testing. This latter aspect is particularly vital, encompassing:

1. Link Configuration, Parameter Adjustment, and System Quality of Service (QoS) Configuration
2. Activation & Optimisation of SHARP and Adaptive Routing Functionalities
3. Health Check: Including Network Equipment and Line Quality Detection
4. Network Topology, Track Optimisation Detection, and Adaptive Routing State Checks
5. Network Performance Testing, Error Detection, and Diagnostics

Through these optimisation services, Hermesys can improve inference efficiency, reduce inference latency, and thereby enhance overall computational performance for their client base.

In the AI era, the importance of optimising computational power scheduling is self-evident. The development of AI computing centres not only needs to meet the high demands of AI models but also requires optimising the efficiency of computational power usage and matching supply and demand. With continuous technological advancements, Hermesys’ AI computing centre optimisation services will become a key driving force behind the development of clients’ AI industries.