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AI Hosting & Infrastructure

AI Hosting & Infrastructure

AI Hosting & Infrastructure

Build production AI infrastructure on dedicated GPU servers. These guides cover networking, storage architecture, scaling strategies, and deployment patterns for running AI workloads on bare metal. From private AI hosting to multi-GPU clusters, learn how to architect GPU infrastructure that scales.

AI Hosting & Infrastructure May 2026

Cold Storage for Historical LLM Logs

Tiered storage for AI inference logs — hot 30 days, warm 1 year, cold 7 years. The cost-efficient retention pattern.

AI Hosting & Infrastructure May 2026

Inference Graceful Degradation

When the AI tier is overloaded or degraded — graceful fallback patterns instead of 500 errors.

AI Hosting & Infrastructure May 2026

Scheduled Batch vs Real-Time LLM Workloads

Different LLM workload shapes need different infrastructure. Real-time chatbot vs nightly batch summarisation are different problems.

AI Hosting & Infrastructure May 2026

AI Platform Build vs Buy in 2026

When to build your own internal AI platform vs using off-the-shelf platforms (Databricks Mosaic, Vertex AI, SageMaker).

AI Hosting & Infrastructure May 2026

Multi-Region AI Deployment Patterns

Deploying AI across UK / EU / US regions for latency, residency, redundancy. The patterns that work and the ones…

AI Hosting & Infrastructure May 2026

AI On-Call Rotation

On-call practices for production AI — what alerts to wake people for, how to rotate, what runbooks to write.

AI Hosting & Infrastructure May 2026

Capacity Planning for AI Inference

Capacity planning for self-hosted LLM inference — concurrent users, peak load, headroom, scaling triggers.

AI Hosting & Infrastructure May 2026

Red-Teaming a Self-Hosted LLM

Adversarial testing for production LLM deployments. Prompt injection, data leakage, jailbreaks, output manipulation.

AI Hosting & Infrastructure May 2026

Setting AI Performance Budgets

Defining and enforcing performance budgets for AI features — TTFT, TPOT, end-to-end latency, cost-per-request.

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