Runtime and capacity
Model runtime, CPU/GPU, memory, storage and concurrency are sized.
AI SERVICES
Local AI and Model Infrastructure
Local AI and model infrastructure deploys open-source or approved models inside the organization's own server, virtual infrastructure or cloud account with secure access, resource controls and production operations.
What is Local AI and Model Infrastructure?
Deployment is not limited to Ollama. The runtime and interface are selected according to the model, GPU, concurrency, API compatibility, security and operational requirements.
The environment includes model storage, authentication, network isolation, monitoring, backups and controlled model updates rather than a one-off installation.
Service scope
Secure model serving
Authentication, TLS, network boundaries, API access and rate limits are configured.
User and platform access
An approved UI or OpenAI-compatible endpoint is integrated with identity and permissions.
Operations
Metrics, logs, health checks, restart behavior, backups and model updates are established.
Validation
Quality, latency, load, failure and recovery scenarios are tested.
WHO IS IT FOR?
Who is it for?
- Organizations that cannot send sensitive data to public AI services.
- Teams operating Ollama, vLLM, llama.cpp, Open WebUI or compatible runtimes.
- Companies requiring a managed internal model API and GPU environment.
DELIVERABLES
Deliverables
- Production-ready model runtime
- Secure UI and/or API endpoint
- GPU and resource-limit configuration
- Monitoring, logging and backup controls
- Operations and model-update documentation
How we work
01
Measure model workload, user concurrency, latency targets and CPU/GPU capacity
02
Deploy the model runtime, storage, secure access and resource controls
03
Validate load, failure, restart, monitoring and model-update scenarios
Frequently asked questions
Is installation limited to Ollama?
No. Ollama, vLLM, llama.cpp and other suitable runtimes can be evaluated.
Can it be installed remotely on our server?
Yes. Deployment can be performed remotely on an approved physical, virtual or cloud server with controlled access.
Let’s assess your requirements
We review your current environment, target and technical requirements in a 20–30 minute call. Scope, assumptions, deliverables and pricing are documented before work begins.
Request an assessment →