Why Choose SSYZ Benchmark Platform?

Secure & Reliable

Enterprise-grade security for defense industry benchmarking with robust validation and testing.

High Performance

Optimized for complex AI workloads with scalable infrastructure and fast evaluation.

Collaborative

Foster innovation through collaborative benchmarking and knowledge sharing.

About SSYZ Benchmark Platform

SSYZ Benchmark Platform is an enterprise benchmark platform that enables secure, reproducible and comparable evaluation of large language models (LLMs) on the IT infrastructure of the SSYZ network operated under SSB coordination. The platform allows public institutions, defense industry companies, SMEs, startups and academic stakeholders to test their own models in an isolated, auditable and standardized evaluation environment.

Controlled Access & Secure Infrastructure

All evaluation processes are conducted on servers located within the SSYZ network, closed to external access and authorized. Model execution and testing are performed with defined security policies and isolation mechanisms.

Standardized Benchmark Processes

Large language models are evaluated using predefined datasets, scenarios and performance metrics. This approach ensures that results are objective, comparable and reproducible.

Secure Model Integration

Users can integrate their models into the platform via file-based upload or API endpoints. All models are subjected to compliance and security checks before being included in the evaluation process.

Comparative Results Presentation

Evaluation outputs are presented through leaderboards and visual analysis dashboards. Results can be shared publicly according to user preference.

Multi-Stakeholder Usage Support

The platform is designed to support public, private sector and academic stakeholders to evaluate their own models under the same benchmark conditions on a common reference infrastructure.

Scope Information: The platform currently focuses only on the evaluation of large language models (LLMs) in the current development phase. Other AI model types and task areas will be addressed in future development phases.