ZhiLing Serverless

Traditional GPU rental services like AWS EC2 and Azure VM typically charge by fixed time units, requiring prepayment before usage. In contrast, ZhiLing's Serverless architecture adopts a pay-per-second billing model, dynamically allocating and releasing resources based on actual usage. This ensures users incur no costs during idle periods, significantly reducing expenses.

What Problems Does Serverless Solve?

1. Lower Costs

Provides Serverless GPU computing that enables users to pay only for actual resource consumption by the second. Resources automatically launch and release on demand.

2. Faster Deployment

Container-based architecture enables rapid deployment with one-click resource provisioning.

3. Simplified Operations & Maintenance

Delivers comprehensive operational metrics including API endpoint throughput, latency, and error rates. Offers elastic scaling capabilities and log monitoring, enabling automatic expansion during high-traffic scenarios.

4. Enhanced Flexibility

Supports multi-language deployments (Python-first implementation, followed by Golang, Rust, Java). Features pre-downloaded Hugging Face model caches for accelerated AI inference. Provides persistent access endpoints for every Serverless function.

5. Secure Access

Ensures protected access through authentication protocols, access controls, and detailed access logging.