AI and LLM Hosting for Agencies
Deploy large language models on your own infrastructure, in the cloud, or both. Maintain full data control, reduce API costs, and run models exactly where your clients need them.
Why LLM Hosting Matters
Understand the strategic advantages of dedicated AI infrastructure for your agency and its clients.
Complete Data Sovereignty
On-premises deployments keep sensitive client data off third-party servers entirely. Maintain full control over data residency, meet compliance requirements, and enforce security policies without depending on external API providers or their changing terms of service.
Predictable Cost at Scale
Eliminate per-token API costs and rate-limiting constraints. Run unlimited inference with fixed monthly infrastructure costs, reduce latency by deploying models closer to your users, and support high-volume workloads without throttling or surprise billing.
Multi-Model Architecture
Run open-source models alongside commercial APIs. Combine Llama, Mistral, and other open models with OpenAI and Anthropic endpoints. Choose the right model for each task without vendor lock-in, and switch between providers as the landscape evolves.
Deployment Models
Choose the architecture that fits your infrastructure, compliance, and performance requirements.
On-Premises
Hybrid
Cloud
Pricing is scoped per engagement. Contact us for a custom quote based on your infrastructure requirements.
What We Manage
End-to-end management of your LLM infrastructure so your team can focus on building products.
GPU Provisioning
Configuration and optimization of GPU resources for inference workloads across NVIDIA and cloud-native accelerators.
Model Deployment
Containerized deployment of LLMs with orchestration, health checks, and zero-downtime rollouts.
API Gateway
RESTful and OpenAI-compatible endpoints with request routing, rate limiting, and authentication.
Integration Services
Webhooks, SDKs, and middleware for connecting your LLM endpoints to existing applications.
Access Controls
Role-based access, API key management, encryption at rest and in transit, and audit logging.
Compliance
Data residency enforcement, retention policies, and documentation for SOC 2 and GDPR requirements.
Monitoring
Real-time metrics for latency, throughput, error rates, and resource utilization with alerting.
Cost Management
Per-deployment cost tracking, resource optimization recommendations, and usage reporting.
Supported Runtimes and APIs
Broad platform support for self-hosted inference and managed cloud AI services.
Ollama
Simple local model management and inference server with broad model compatibility.
vLLM
High-throughput inference engine with PagedAttention for optimized memory usage.
GPT4All
Run quantized models on consumer-grade hardware with minimal configuration.
Text Gen WebUI
Feature-rich web interface for model interaction, testing, and prompt development.
OpenAI
GPT-4o and o1 models via managed APIs with function calling and vision capabilities.
Anthropic
Claude models with extended context windows and enterprise-grade reliability.
AWS Bedrock
Managed foundation models with VPC integration and AWS compliance features.
Google Vertex AI
Gemini and PaLM models on Google infrastructure with MLOps tooling.
Our Support
Comprehensive management and support services for your LLM deployment.
Inference Monitoring
Real-time tracking of model performance, latency, token throughput, and error rates across all endpoints.
Performance Tuning
Optimization of inference speed, batch processing, and resource utilization to maximize cost efficiency.
Model Management
Version control, lifecycle management, A/B testing, and zero-downtime model swaps across deployments.
Security Operations
Ongoing compliance audits, vulnerability management, security patching, and access review processes.
Scaling Support
Infrastructure scaling to handle increased inference volume, new model deployments, and user growth.
Escalation Response
Priority incident handling with defined SLAs, root cause analysis, and proactive issue prevention.
How It Works
Our proven four-step process for deploying your LLM infrastructure.
Define Use Case
Assess your requirements including model selection, deployment location, data privacy needs, and performance targets. We map your use cases to the right architecture.
Architecture Design
Design the infrastructure, networking, security layers, and integration points with your existing systems. Includes capacity planning and cost modeling.
Deploy and Validate
Deploy models, configure API endpoints, run load testing, and validate performance benchmarks. Security audit and compliance checks before production launch.
Manage and Optimize
Ongoing monitoring, model updates, cost optimization, and scaling support. Continuous improvement as your usage patterns evolve and new models become available.
Frequently Asked Questions
Common questions about LLM hosting and deployment for agencies.
Ready to Deploy Your LLMs?
Get started with dedicated LLM hosting for your agency. Our team will design the right architecture for your use case and guide you through deployment.
Custom quotes based on your infrastructure requirements.