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GigaGPU Blog

GPU Hosting & AI Engineering Blog

Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.

Latest Articles

Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.

AI Hosting & Infrastructure May 2026

Model Deprecation Strategy for Self-Hosted

When and how to retire an old model from production. Sunset timeline, migration support, eval bridging.

AI Hosting & Infrastructure May 2026

AI Incident Response Runbook

When your self-hosted AI breaks in production — the runbook for diagnosis, mitigation, and recovery.

Cost & Pricing May 2026

Inference Cost Attribution for Multi-Tenant

How to attribute self-hosted AI cost to tenants / customers / departments. Per-token cost models that work in practice.

Tutorials May 2026

Embedding Model Retraining Cadence

When to re-embed your corpus with a new embedding model — drift detection, quality benchmarks, cost.

AI Hosting & Infrastructure May 2026

Dedicated GPU vs Shared Cloud: Trust Model Differences

Single-tenant dedicated GPU vs multi-tenant cloud — what changes in your security trust model.

AI Hosting & Infrastructure May 2026

Vector Store Backup and Recovery

Backup and disaster recovery for production vector stores. Qdrant / Weaviate / pgvector specifics.

AI Hosting & Infrastructure May 2026

Model Update Rollout Pattern

How to roll out a new model version (Llama 3.1 → 3.3, or your fine-tune v2) safely. The blue-green pattern…

Tutorials May 2026

Prompt Template Versioning in Production

Production prompt management — version control, A/B testing, rollout patterns. Treat prompts like code.

Cost & Pricing May 2026

Measuring ROI on Self-Hosted AI

How to measure ROI on a self-hosted AI deployment honestly — direct cost saving, productivity gains, the hidden costs.

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