Local Multi-Tier Semantic Cache Closure
Full local closure of AI call data. Built on three tiers — in-memory high-speed, disk-persistent, and distributed cluster cache — all semantic vectors, inference results, multi-turn context, and prompt originals stay on the customer's own intranet servers. Zero business data is ever transmitted to third-party clouds.
- —Custom cache expiration, one-click sensitive-session cleanup, and automatic hot/cold data tiering
- —Offline cache mode remains responsive to repeat semantic AI requests even when public internet is down
- —Fine-grained control capabilities ensure intranet business continuity
Local Full-Domain Compute Control
The customer holds exclusive top-level admin rights to the native Scheduler, fully controlling all GPU/CPU heterogeneous compute clusters on the intranet. Multiple independent scheduling policies can be customized for office hours, production, and night-time maintenance, maximizing idle compute utilization and eliminating waste.
- —Dynamic request-concurrency throttling and automatic cross-node load balancing
- —Off-peak request batch merging and peak-time compute quota locking
- —Blacklist/whitelist call control with flexible switching between independent scheduling policies
Zero-Code Heterogeneous Model Access
Built-in OpenAI-standard API compatibility layer: the private intranet environment needs no external network penetration and no line of existing business code changed to seamlessly access all categories of LLMs. Covers open-source locally deployed models, domestic closed-source commercial models, and overseas compliant models, converging them into a single standardized API.
- —Eliminates incompatibility between internal multi-model interfaces, high secondary refactoring costs, and large external-network call latency
- —Supports fully offline use in physically isolated intranets, suitable for classified office environments
- —Open-source, domestic, and overseas models converge into a single standardized API
Native Full-Chain Compliance Audit
All three engines — input-prompt pre-audit, output post-risk control, and full-chain log auditing — are deployed locally. The system automatically encrypts and retains caller identity, call time, raw prompts, model returns, token consumption details, and IP addresses. Logs carry tamper-proof hash fingerprints and support a minimum of 90 days of offline permanent archiving.
- —Tamper-proof hash fingerprints on logs with a minimum 90-day offline permanent archive
- —Built-in dual-track compliance routing physically isolates classified-business and general-office call chains
- —Matches MLPS 2.0, EU GDPR, Middle East Gulf data-sovereignty laws, and other compliance frameworks
05 · MULTI-TENANT ISOLATION Multi-Tenant Compute & Data Isolation
For group-level, multi-department, and cross-border joint compute multi-tenant scenarios, supports both logical and physical resource isolation. Subsidiaries, internal departments, and external partner tenants can each be allocated independent compute quotas, dedicated API keys, isolated cache storage, and separate audit ledgers.
- —Cache data, session data, compute resources, and audit records are fully physically isolated between tenants
- —No reliance on third-party cloud isolation policies; lateral data-leakage risks are eliminated at the infrastructure level
- —Adapts to IACBC cross-border sovereign compute bidding and government classified compute project acceptance standards
