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Enterprise Architecture Advisory Track

Enterprise architecture advisory protects corporate data boundaries

We help security-conscious technology enterprises design, deploy, and benchmark private artificial intelligence architectures. Billed at 150 to 300 USD per hour across 1 to 4 week implementation sprints, our engagements evaluate local retrieval-augmented generation (RAG) pipelines, open-source model quantisation, and multi-tenant access barriers.

Alina Morozova leads our Chicago architecture verification desk with empirical systems testing since 2021.

Corporate software stacks cannot afford hallucinations or accidental data egress to third-party public cloud endpoints. Alina Morozova has directed our independent technical evaluations in Chicago since 2021 under registered entity LLC № 12345678. Our testing focuses on physical server clusters, PCIe bus saturation, vLLM paged attention efficiency, and zero-trust VPC configurations.

Instead of high-level PowerPoint slides, our advisory outputs include verified Docker Compose manifests, Kubernetes DaemonSets, custom embedding chunking configurations, and reproducible latency benchmarking logs.

Enterprise server rack front panel with clean fiber optic cabling and active hardware indicators.
On-premise enterprise rack • Multi-GPU node interconnect and fiber transceivers High-density private inference cluster • Chicago Lab

Our enterprise advisory track encompasses three core technical modules and deliverables.

Depending on whether your infrastructure requires self-hosted model serving or strict regulatory isolation, our Chicago advisory team structures deliverables across three measurable technical domains.

Air-Gapped Private RAG & Vector Database Partitioning

150–300 USD / hr

Designing end-to-end document retrieval systems where no raw document or embedding vector ever leaves your virtual private cloud. We audit chunking boundaries, evaluate hierarchical metadata indexing in Qdrant or Milvus, and benchmark re-ranking latency using cross-encoder models.

Lead Time 2 to 4 weeks
Core Stack vLLM, Qdrant Vector DB, LlamaIndex, BGE Re-ranker
Verification Standard Zero external egress confirmed via Wireshark and firewall logs

Model Quantisation & Multi-GPU Inference Profiling

180–300 USD / hr

Benchmarking frontier open weights (Llama-3-70B, Mistral-Large, Qwen-2.5) across FP16, AWQ, and GPTQ quantisation schemes. We measure tokens-per-second, KV-cache memory pressure under 100+ concurrent worker requests, and context degradation at 32k tokens.

Lead Time 1 to 3 weeks
Core Stack TensorRT-LLM, vLLM PagedAttention, Prometheus telemetry
Verification Standard 3 reproducible stress runs across identical compute nodes

Deterministic Guardrails & Security Boundary Audit

150–260 USD / hr

Implementing hard programmatic boundaries that block prompt injection, jailbreaking vectors, and unauthorized system prompt leakage. We replace unreliable natural language constraints with strict JSON-schema enforcement and AST parsers.

Lead Time 1 to 2 weeks
Core Stack NeMo Guardrails, Outlines regex engine, Pydantic
Verification Standard Automated penetration test suite covering 200+ injection payloads

Enterprise pricing variables depend on infrastructure scale and security isolation tiers.

Our advisory rate scales strictly within 150 to 300 USD per hour. We do not assess arbitrary quotes; every project estimate corresponds to five verified operational drivers:

Architecture Variable Engineering Impact
Compute Scale Single node workstation vs multi-node clustered GPU topology with RDMA network fabrics.
Regulatory Air-Gap Standard isolated VPC vs completely offline, air-gapped on-premise hardware facilities.
Document Ingestion Volume Under 10,000 corporate records vs enterprise data lakes exceeding 5,000,000 complex files.
Custom Kernel Quantisation Off-the-shelf FP16 weights vs custom FlashAttention-2 or AWQ compilation kernels.
Lead Time & Urgency Standard 4-week structured sprint vs expedited 1-week architecture triage.

Our four-week enterprise deployment framework ensures predictable operational handovers.

Week 01 • Boundary Analysis

Threat Modeling & Hardware Sizing

We audit existing data access privileges, examine server VRAM capacity, and formulate the exact tensor parallelism configuration required for your targeted model weights.

Week 02 • Retrieval Engineering

Vector Index & Chunking Schema

We build deterministic parsing scripts for your PDF, DOCX, and SQL repositories, configuring dense and sparse hybrid retrieval indexes with token budgeting limits.

Week 03 • Staging Benchmarks

Concurrency & Penetration Stress Tests

We simulate 500 concurrent user sessions across the staging cluster, evaluating latency degradation, time-to-first-token spikes, and automated injection resilience.

Week 04 • Production Deployment

Runbook Handover & Staff Training

We deploy final Kubernetes manifests, wire Prometheus and Grafana dashboards for token latency telemetry, and train internal staff under registered Illinois LLC № 12345678.

Crucial architecture questions answered for enterprise technology directors.

Can open-source models match proprietary cloud models in production?

Yes. In targeted enterprise RAG workflows, appropriately quantized 70B parameter open weights match or exceed public cloud models while eliminating token privacy leaks and unpredictable latency spikes.

What hardware footprint is required for an air-gapped 70B parameter model?

An AWQ 4-bit quantized 70B model requires approximately 48 GB of VRAM, running comfortably across two NVIDIA RTX 6000 Ada or two A6000 cards with headroom for a 16k context window and vLLM paged attention cache.

Do you require access to production databases during the audit?

No. We conduct initial benchmarking and pipeline validation against sanitized synthetic datasets that mirror your production data structure, ensuring zero regulatory or compliance friction.

Initiate an enterprise architecture consultation with our Chicago engineering desk.

Please submit your infrastructure requirements or current inference constraints. Our senior engineering team reviews each specification and responds within one business day.

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