In-House Model Hosting
On-premise and private cloud model serving infrastructure handling 10-100K requests/second with <20ms p99 latency and 99.95% availability
Overview
On-premise and private cloud model serving infrastructure with auto-scaling capabilities handling variable inference workloads (10-100K requests/second) with <20ms p99 latency. Addresses enterprise requirements for data sovereignty, security, and compliance by providing dedicated infrastructure within enterprise environments. Kubernetes-based orchestration ensures 99.95% availability with zero-downtime deployments, A/B testing support, and comprehensive monitoring. Integrates with existing enterprise infrastructure through standard protocols, supporting model versioning, rollback systems, and real-time metrics dashboards compliant with SOC 2, HIPAA, and GDPR requirements.
Key Features
Secure Infrastructure
Enterprise-grade security with encryption at rest (AES-256) and in transit (TLS 1.3), role-based access control (RBAC), and comprehensive audit logging. Network isolation and private networking ensure models and data remain within enterprise boundaries. Security hardening includes vulnerability scanning, penetration testing, and compliance certifications (SOC 2, HIPAA, GDPR).
AES-256 encryption at rest | TLS 1.3 in transit | 100% audit trail coverage | SOC 2/HIPAA/GDPR compliant | Zero security incidents
Scalable Deployment
Kubernetes-based orchestration with horizontal pod autoscaling handles variable workloads from 10 to 100K+ requests/second. Auto-scaling policies based on CPU, memory, and custom metrics ensure optimal resource utilization. Load balancing and request routing distribute traffic across model replicas, maintaining consistent latency under load.
10-100K+ requests/second | <30s scale-up time | 99.95% availability | Horizontal pod autoscaling | Intelligent load balancing
Model Management
Comprehensive model versioning system enables A/B testing, gradual rollouts, and instant rollbacks. Model registry tracks versions, metadata, and performance metrics, enabling data scientists to compare and select optimal models. Deployment pipelines support canary releases and blue-green deployments with zero downtime.
Zero-downtime deployments | A/B testing with traffic splitting | <5s rollback time | Model versioning with full history | Canary releases
Enterprise Security & Compliance
Security hardening includes network isolation, encryption, access controls, and audit logging compliant with SOC 2, HIPAA, and GDPR. Compliance features include data residency controls, retention policies, and automated compliance reporting. Enterprise SSO integration (SAML, LDAP) enables seamless authentication with existing identity providers.
SOC 2/HIPAA/GDPR compliant | 100% audit logging | Enterprise SSO integration | Data residency controls | Automated compliance reporting
Business Impact
Full Infrastructure Control
On-premise deployment provides complete control over infrastructure, data, and models, ensuring zero data exfiltration risk
Compliance with strict data sovereignty requirements, reduced regulatory risk, and ability to customize infrastructure for specific needs
Data Stays Within Environment
100% of data and model processing occurs within enterprise infrastructure, eliminating cloud data transfer and storage costs
Enhanced security posture, reduced data transfer costs, and compliance with regulations requiring on-premise data processing
Reduced Latency and Costs
<20ms p99 latency with on-premise deployment, 40% cost reduction compared to cloud inference at scale
Faster response times improve user experience, while lower costs enable higher query volumes and better ROI
Regulatory Compliance
100% compliance with SOC 2, HIPAA, GDPR through dedicated infrastructure with comprehensive audit logging and access controls
Reduced compliance risk, faster regulatory approvals, and ability to serve regulated industries (healthcare, finance, government)
Performance Metrics
latency
<20ms p99, 12ms p50, 35ms p99.9 across variable workloads, consistent performance under load
throughput
10-100K+ requests/second with auto-scaling, 5K+ requests/second per pod, horizontal scaling with <30s scale-up
availability
99.95% uptime SLA, zero-downtime deployments, <5s rollback time, automated failover with <10s recovery
scalability
Linear scaling from 10 to 100K+ requests/second, auto-scaling based on metrics, support for 100+ concurrent model versions
Technical Specifications
orchestration
Kubernetes with Helm charts, horizontal pod autoscaling (HPA), custom metrics-based scaling
model Serving
Triton Inference Server, TensorFlow Serving, TorchServe, custom FastAPI/Flask endpoints
monitoring
Prometheus metrics collection, Grafana dashboards, distributed tracing with Jaeger, log aggregation with ELK stack
security
Network policies, pod security policies, secrets management (Vault/Sealed Secrets), RBAC, SSO integration (SAML/LDAP/OAuth)
Get Started with In-House Model Hosting
Ready to transform your business with in-house model hosting? Contact our team to learn more.