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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

1,000 Posts on Self-Hosted AI: A Field Guide

Pulling together the dominant patterns for self-hosted AI in 2026. The reference summary for production deployments.

AI Hosting & Infrastructure May 2026

AI + Data Platform Integration

Integrating self-hosted AI with Snowflake / Databricks / BigQuery / dbt — the patterns for data-platform-aligned teams.

AI Hosting & Infrastructure May 2026

Event-Driven Architecture for AI

Async / event-driven patterns for AI — Kafka / Pub/Sub / SQS triggering inference, parallelisation, batching.

AI Hosting & Infrastructure May 2026

AI Microservices vs Monolith

Should the AI tier be a microservice or part of a monolith? The trade-offs depend on team size and integration…

AI Hosting & Infrastructure May 2026

AI Checkpoint Versioning Strategy

Versioning model checkpoints — weights, fine-tunes, LoRA adapters. The discipline that survives audits.

AI Hosting & Infrastructure May 2026

LLM Routing Rules

How to route LLM requests intelligently across multiple backends — cost, quality, latency, fallback. The pattern library.

AI Hosting & Infrastructure May 2026

Multi-Region AI Failover

Active-passive AI failover across regions — warm standby, traffic shifting, data sync. The cost-effective resilience pattern.

AI Hosting & Infrastructure May 2026

Database + Vector Store Hybrid Architecture

Combining traditional database (Postgres, MySQL) with vector store (Qdrant, pgvector) for AI applications. The architecture patterns.

AI Hosting & Infrastructure May 2026

AI Failure Mode Analysis

What can fail in production AI — the catalogue of failure modes, with detection and mitigation for each.

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