AI infrastructure
GPU capacity, Kubernetes scheduling, storage and networking designed for training and inference workloads.
AI infrastructure · MLOps · LLMOps · AIOps
AI infrastructure built by people who run production.
Models are the easy part. Integritasec does the AI engineering around them: the platform, pipelines, monitoring and security that keep AI workloads fast, affordable and reliable.
What is included
AI infrastructure & LLMOps, end to end.
LLMOps
Deploying and operating large language models: serving, gateways, versioning, evaluation and guardrails.
MLOps pipelines
Automated build, test and release for models and prompts, using the same discipline as software delivery.
Monitoring and cost control
Latency, quality and spend tracked per model and per team, with alerts before the bill surprises you.
AIOps
AI applied to IT operations: fewer noisy alerts, faster incident triage and automated runbooks.
Security for AI workloads
Isolated environments, secrets handling, access control and logging for models, data and agents.
When to call
Signs it is time.
- A model works in a notebook but not in production
- GPU costs are high and utilisation is low
- No one can say whether answers got better or worse
- Each team calls AI providers in its own way
- On-call is drowning in alerts
Tools in daily use
- Kubernetes
- OKD
- Docker
- GitLab CI
- Prometheus
- Grafana
- Loki
- Elastic
- Kafka
- PostgreSQL
- ClickHouse
How it works
Start with a short assessment, continue with a fixed-scope project, or keep a set number of days each month. See ways to work together.
Related guides
Questions
Common questions.
What is LLMOps?
LLMOps is the practice of running large language models in production: deploying them, routing requests, evaluating answer quality, adding guardrails and monitoring cost and performance.
What is the difference between MLOps and LLMOps?
MLOps covers the lifecycle of machine learning models in general. LLMOps is the same idea for large language models, with extra focus on prompts, retrieval, evaluation of free-text answers and token costs.
What is AIOps?
AIOps uses AI to run IT operations better: correlating alerts, detecting anomalies, summarising incidents and automating routine fixes.
Related services
Book a call
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Bring the problem as it is. You will leave with a clear view of what it would take to fix.