Neolink.AI provides cost-effective GPU computing power resources and one-stop data processing & AI application services.

Computing Cluster

High-performance bare - metal GPU servers are utilized as nodes, and RDMA (Remote Direct Memory Access) technology is employed to achieve interconnectivity, delivering high-bandwidth and ultra-low-latency network services. This cluster can effectively distribute complex computing tasks to multiple nodes for parallel processing, addressing the requirements of High-Performance Computing, large-scale model training, and intelligent search applications, thereby providing superior computing power and performance.

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AI Model Training

Computing clusters offer stable and cost-effective computing power. Equipped with a 3.2 Tbps RDMA high-speed network and a high-performance storage system, they can efficiently manage large-scale distributed training tasks. This configuration is especially suitable for processing the large volumes of data and intensive computational demands required for LLM model training, recommendations , and search applications.

Large Model Distributed Inference

Through high-speed RDMA interconnections across regions and clouds, rapid distribution and edge inference for large models are achieved . Simultaneously , data can be transmitted back for fine-tuning, effectively providing an LLM "CDN" service for the AI domain.

Scientific Research and Engineering Simulation

In fields such as fluid mechanics, structural simulation, DNA sequencing, oil exploration, and biopharmaceuticals, large-scale simulations are often necessary to drive or predict industrial designs, molecular structures, and more . Thus , utilizing High-Performance Computing Clusters is crucial for significantly enhancing parallel computing speed and efficiency.