Business Challenge
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High network latency
In application scenarios with high real-time requirements, such as financial transactions, online gaming, etc., network latency becomes a major factor limiting model inference efficiency.
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Data security and privacy protection
Ensuring data security and privacy protection during large-scale model inference processes is a significant challenge for enterprises.
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Cost pressure
Large language model inference requires a considerable amount of computing and storage resources, leading to significant cost pressure for enterprises.
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Deployment and integration
Integrating large language models into existing business processes and systems may encounter technical challenges, such as compatibility issues and system performance bottlenecks.
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Hardware limitations
As the model scale increases, the requirements for hardware also become higher. Existing hardware may be unable to support the inference of extra-large models, necessitating dedicated hardware design or customized solutions.
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Insufficient computing resources
With the continuous expansion of artificial intelligence model scales, enterprises face the challenge of inadequate computing resources, unable to meet the demand for large-scale model inference.
Solutions
▪BODADATA is distributed in the core regions across China, with 14 hyperscale and large-scale data centers all complying with T3 and T4 standards.
▪By leveraging the disaster recovery services provided by BODADATA's cloud platform, network platform, and storage platform, it uses cloud resources to protect applications and data from disruptions caused by disasters. It provides customers with a complete backup system that ensures business continuity in the event of a disaster or system failure.
▪Identifying customers’ pain points quickly and developing appropriate implementation plans based on extensive experience in project implementation
▪Implementing the project at the appropriate pace while ensuring compliance and high-quality standards.
▪Guaranteeing business continuity by a professional operation team
▪Providing one-stop services without requiring customer involvement.
