On-Premise AI Solutions
Deploy AI models on your own infrastructure. Complete data sovereignty, air-gapped environments, and compliance with Swedish security requirements for government and enterprises.
Why On-Premise AI?
Data Sovereignty & Compliance
For organizations handling classified information, sensitive personal data, or subject to strict regulations, cloud AI isn't an option. Keep everything on your infrastructure.
- Swedish defense & security compliance (MUST/LSFS)
- Healthcare data (Patientdatalagen, GDPR)
- Financial services (PSD2, MiFID II)
- Government & municipal data
Zero Data Leakage Guarantee
Unlike cloud AI services, your data never leaves your network. No third-party model training, no data retention, no exposure to external APIs.
- Air-gapped deployment options
- No internet connectivity required
- Complete audit trail & logging
- Network isolation & VLANs
Organizations That Need On-Premise AI
Government & Defense
Classified information, security clearances, and national security requirements mandate air-gapped AI deployments.
Healthcare & Life Sciences
Patient data privacy, GDPR compliance, and medical confidentiality require complete data isolation.
Financial Services
Banking secrecy, PSD2 compliance, and fraud detection on sensitive financial data require on-premise deployment.
Our On-Premise AI Services
Private LLM Deployment
- • Llama 3.1 (70B, 405B)
- • Mistral Large 2
- • GPT-J / GPT-NeoX
- • Custom fine-tuned models
- • Swedish language models
- • Model quantization (GPTQ/AWQ)
- • vLLM inference optimization
Infrastructure Setup
- • GPU cluster design (NVIDIA A100/H100)
- • Kubernetes orchestration
- • Load balancing & auto-scaling
- • Storage architecture (NVMe/SAN)
- • Network optimization (InfiniBand)
- • Backup & disaster recovery
- • High availability (99.9% SLA)
Integration & APIs
- • OpenAI-compatible API
- • Custom REST/GraphQL APIs
- • SDK development (Python/TypeScript)
- • Internal application integration
- • Legacy system connectors
- • Authentication (LDAP/AD/SAML)
- • API gateway & rate limiting
Security & Compliance
- • Network segmentation & VLANs
- • Encryption at rest & in transit
- • Role-based access control (RBAC)
- • Audit logging & SIEM integration
- • Penetration testing
- • Compliance documentation
- • Security hardening (CIS benchmarks)
Data & RAG Solutions
- • Vector database (Qdrant/Milvus)
- • Document ingestion pipelines
- • Embeddings generation
- • Semantic search implementation
- • Knowledge graph integration
- • Data retention policies
- • Backup & versioning
Operations & Support
- • Continuous monitoring & alerting
- • Performance optimization
- • Model updates & patching
- • Capacity planning
- • Incident response
- • Team training & knowledge transfer
- • Managed service options
Technology Stack
LLM Models
- • Llama 3.1 (Meta)
- • Mistral Large 2
- • GPT-J/GPT-NeoX
- • Falcon 180B
Inference & Serving
- • vLLM
- • TGI (Text Generation Inference)
- • TensorRT-LLM
- • Triton Inference Server
Orchestration
- • Kubernetes
- • Docker
- • Helm Charts
- • ArgoCD (GitOps)
Hardware
- • NVIDIA A100 (80GB)
- • NVIDIA H100
- • AMD MI300X
- • InfiniBand networking
Vector Databases
- • Qdrant
- • Milvus
- • Weaviate
- • pgvector (PostgreSQL)
Monitoring
- • Prometheus
- • Grafana
- • Elasticsearch/Kibana
- • Nvidia DCGM
Security
- • Vault (HashiCorp)
- • cert-manager
- • Falco (runtime security)
- • Trivy (vulnerability scanning)
Development
- • LangChain
- • LlamaIndex
- • Hugging Face Transformers
- • FastAPI/Python
Deployment Models
Self-Managed
You own and operate the infrastructure
We design, build, and hand over the complete AI infrastructure. Your team operates and maintains it with our training and documentation.
Co-Managed
Shared responsibility model
We manage the AI infrastructure layer (models, scaling, updates) while you manage applications and integrations. Best of both worlds.
Fully Managed
Complete turnkey solution
We handle everything: hardware, software, monitoring, updates, and support. You just consume the AI API. Perfect for rapid deployment.
Deployment Success Story
Swedish Defense Agency
Challenge: Needed AI-powered intelligence analysis on classified documents in completely air-gapped environment. Zero internet connectivity, maximum security.
Solution: Deployed fine-tuned Llama 3.1 70B on 8x NVIDIA A100 cluster with custom RAG system processing 40TB of classified documents. All Swedish language.
Results
Investment Guide
On-Premise AI is a Significant Investment
Hardware costs alone range from 1.5M SEK (small deployment) to 15M+ SEK (enterprise cluster). This is in addition to our services. However, for organizations with strict data requirements, it's the only viable option.
Small Deployment
2-4x GPUs, single model
- Infrastructure design & setup
- 1 LLM deployment (7B-13B params)
- Basic RAG implementation
- API development
- Monitoring & alerting
- Team training (2 days)
- 10-12 weeks delivery
- 6 months support
Enterprise Cluster
8-16x GPUs, multiple models
- Everything in Small, plus:
- Multiple LLMs (70B+ params)
- High availability setup
- Advanced RAG & vector search
- Fine-tuning infrastructure
- Security hardening & compliance
- Disaster recovery setup
- Team training (5 days)
- 16-20 weeks delivery
- 12 months support
Fully Managed
Ongoing managed service
- Continuous monitoring & support
- Model updates & patching
- Performance optimization
- Capacity planning & scaling
- Incident response (1hr SLA)
- Security updates
- Monthly reporting
- Dedicated support engineer
Ready to Deploy AI On Your Infrastructure?
Schedule a technical consultation to discuss your data sovereignty requirements. We'll design a custom on-premise AI solution that meets your security and compliance needs.
Contact us: onprem@technspire.com | Phone: +46 722 52 52 53