On-Premise AI Infrastructure
GPU hardware consulting, open-source model hosting, and on-prem AI deployment
On-premise AI infrastructure module that handles the full stack of self-hosted AI — from GPU hardware selection and rack provisioning to deploying open-source models like LLaMA, Mistral, Whisper, and YOLO, with performance benchmarking, resource monitoring, and security-first architecture for data-sovereign organizations.
Features
What's Included
GPU Hardware Consulting
Assess workload requirements and recommend optimal GPU configurations — NVIDIA A100, L40S, RTX 4090 — with cost-performance analysis and vendor-neutral sourcing guidance.
Open-Source Model Hosting
Deploy and manage open-source models (LLaMA, Mistral, Whisper, Stable Diffusion, YOLO) on your own hardware with quantization options for memory optimization.
Performance Benchmarking
Run standardized benchmarks on your hardware to measure tokens-per-second, inference latency, and batch throughput — with comparison reports across configurations.
Resource Monitoring Dashboard
Real-time monitoring of GPU utilization, VRAM usage, CPU load, and network throughput across all AI nodes with alerting on capacity thresholds.
Model Catalog Management
Internal model registry tracking deployed models, versions, hardware assignments, and access permissions — with one-click model swap and rollback.
Security & Network Isolation
Air-gapped deployment with no external API calls — all inference runs locally behind your firewall with encrypted model storage and audit logging.
Plans
Feature Comparison
See what's included at every level — each tier builds on the previous one.
| Feature | Basic | Advanced | Expert | Enterprise |
|---|---|---|---|---|
| Single GPU server setup and configuration | ||||
| One open-source model deployment | ||||
| Basic resource monitoring (CPU, GPU) | ||||
| Web-based management console | ||||
| Multi-GPU server with load balancing | — | |||
| Model catalog with version management | — | |||
| Performance benchmarking reports | — | |||
| Automated model updates and rollback | — | |||
| Multi-node GPU cluster orchestration | — | — | ||
| Quantization and optimization consulting | — | — | ||
| Advanced monitoring with alerting rules | — | — | ||
| API gateway for model inference routing | — | — | ||
| Air-gapped deployment (zero egress) | — | — | — | |
| Hardware procurement and rack setup | — | — | — | |
| 24/7 infrastructure support SLA | — | — | — | |
| Compliance documentation (ISO, SOC2) | — | — | — |
Basic
4 features- Single GPU server setup and configuration
- One open-source model deployment
- Basic resource monitoring (CPU, GPU)
- Web-based management console
- — Multi-GPU server with load balancing
- — Model catalog with version management
- — Performance benchmarking reports
- — Automated model updates and rollback
- — Multi-node GPU cluster orchestration
- — Quantization and optimization consulting
- — Advanced monitoring with alerting rules
- — API gateway for model inference routing
- — Air-gapped deployment (zero egress)
- — Hardware procurement and rack setup
- — 24/7 infrastructure support SLA
- — Compliance documentation (ISO, SOC2)
Advanced
8 features- Single GPU server setup and configuration
- One open-source model deployment
- Basic resource monitoring (CPU, GPU)
- Web-based management console
- Multi-GPU server with load balancing
- Model catalog with version management
- Performance benchmarking reports
- Automated model updates and rollback
- — Multi-node GPU cluster orchestration
- — Quantization and optimization consulting
- — Advanced monitoring with alerting rules
- — API gateway for model inference routing
- — Air-gapped deployment (zero egress)
- — Hardware procurement and rack setup
- — 24/7 infrastructure support SLA
- — Compliance documentation (ISO, SOC2)
Expert
12 features- Single GPU server setup and configuration
- One open-source model deployment
- Basic resource monitoring (CPU, GPU)
- Web-based management console
- Multi-GPU server with load balancing
- Model catalog with version management
- Performance benchmarking reports
- Automated model updates and rollback
- Multi-node GPU cluster orchestration
- Quantization and optimization consulting
- Advanced monitoring with alerting rules
- API gateway for model inference routing
- — Air-gapped deployment (zero egress)
- — Hardware procurement and rack setup
- — 24/7 infrastructure support SLA
- — Compliance documentation (ISO, SOC2)
Enterprise
16 features- Single GPU server setup and configuration
- One open-source model deployment
- Basic resource monitoring (CPU, GPU)
- Web-based management console
- Multi-GPU server with load balancing
- Model catalog with version management
- Performance benchmarking reports
- Automated model updates and rollback
- Multi-node GPU cluster orchestration
- Quantization and optimization consulting
- Advanced monitoring with alerting rules
- API gateway for model inference routing
- Air-gapped deployment (zero egress)
- Hardware procurement and rack setup
- 24/7 infrastructure support SLA
- Compliance documentation (ISO, SOC2)
Use Cases
Where This Module Fits
Data-sovereign AI deployment for government agencies
Healthcare on-prem AI processing for patient data privacy
Financial institution AI compliance with local data residency
Manufacturing edge AI for real-time quality inspection
Technology
Built With
Production-grade technologies trusted by enterprises worldwide.
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Works Well With
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