Documentation / Infrastructure / Architecture v1.6k

System Architecture v1.6k

A distributed, AI-native knowledge infrastructure engineered for low-latency retrieval, massive scale, and academic-grade accuracy.

All Systems Operational
AI Inference Cluster Scaling
🌍 Regions: 12
📦 Latest Build: 2025.08.14-rc2

⬡ Core Architecture Layers

Edge Delivery

Global CDN with DDoS mitigation, static asset optimization, and edge-side caching for sub-20ms initial paint.

Cloudflare HTTP/3 Brotli
→

API Gateway

Rate limiting, auth validation, request routing, and protocol translation (GraphQL/REST/gRPC).

Kong OAuth2 JWT
→

Orchestration

Kubernetes-managed service mesh handling load balancing, circuit breaking, and auto-scaling policies.

K8s Istio Helm
→

AI Inference

Custom LLM v1.6k pipeline for semantic search, RAG retrieval, citation generation, and content validation.

Aevum-1.6k RAG ONNX
→

Vector & Graph

Distributed vector database for embeddings + property graph for cross-domain knowledge relationships.

Milvus Neo4j FAISS

Persistent Storage

Multi-region replicated PostgreSQL for metadata, S3-compatible object storage for media & archives.

PostgreSQL Redis MinIO

⚡ Knowledge Ingestion Pipeline

1. IngestionRaw Input
Multi-format document parsing (PDF, EPUB, HTML, CSV) via Apache Tika. Handles OCR for scanned archives and legacy typography normalization.
2. NLP & EmbeddingAI Processing
Chunking strategy adapts to content type. Aevum-Embed-768 generates dense vectors. Named entity recognition extracts cross-references.
3. ValidationExpert Review
Automated fact-checking against trusted corpora. Flagged items route to subject-matter expert queue. Confidence scoring applied.
4. IndexingGraph & Vector
Vectors written to Milvus clusters. Ontology edges committed to Neo4j. Metadata indexed in Elasticsearch for full-text fallback.
5. DeliveryLive Sync
Incremental diffs pushed via WebSocket to edge caches. Versioned snapshots enable time-travel queries for academic reproducibility.

📈 Scale & Performance (v1.6k)

1.6K
Compute Nodes
GPU: A100 / CPU: AMD EPYC
12M
Requests/sec (Peak)
Avg: 3.2M rps
38ms
p95 Latency
Global CDN + Edge Cache
99.99%
Uptime SLA
Multi-AZ Active/Active

🔒 Security & Compliance

🛡️ Zero-Trust Network

  • mTLS between all service mesh components
  • Least-privilege IAM roles per microservice
  • Runtime application self-protection (RASP)

📜 Compliance & Audit

  • SOC 2 Type II Certified
  • GDPR & CCPA data residency controls
  • Immutable audit logs via write-ahead logging

🔐 Data Protection

  • AES-256-GCM encryption at rest
  • TLS 1.3 in transit with HSTS
  • Automatic PII redaction in user submissions

⌨ Deployment Log

aevum-cli@prod $ deploy --version 1.6k --regions us,eu,ap --scale auto
✓ Validating manifests...
✓ Building Aevum-1.6k inference runtime (ONNX optimized)...
✓ Rolling update initiated across 12 regions...
→ Node pool scaling: 1,200 → 1,600 instances
→ Vector index sync: 8.4B embeddings updated
✓ Health checks passed (p95 latency: 34ms)
✓ Deployment complete. Architecture v1.6k is LIVE.
aevum-cli@prod $