GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Self-Hosted vs MCP Server
MCP server hosts vs self-hosted — the architectural relationship and deployment patterns.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Tenant Onboarding Automation
Multi-tenant SaaS AI — the automated onboarding pipeline for new tenants. From signup to first query.
Explainability via Output Citations
Forcing the LLM to cite sources for each claim — the prompting and structured-output patterns that produce verifiable outputs.
AI Feature Experiment Design
Designing A/B experiments for AI features — metrics, statistical significance, interaction effects. The discipline.
Evaluator LLM as Judge
Using a stronger LLM to grade outputs — the technique, the bias, the cost. Production patterns.
Multi-Modal RAG with Images
RAG over documents with images — chart understanding, screenshot retrieval, visual evidence. The 2026 patterns.
Context Window Strategies
Managing long context efficiently — chunked summarisation, context compression, sliding window, hierarchical RAG.
AI Team Skills Development
Building AI capability in an existing engineering team — what to learn, in what order, with what resources.
Bare Metal vs VM for AI GPU
Bare-metal vs virtualised GPU servers — performance overhead, isolation, ops trade-offs for AI workloads.
On-Prem vs Colocation for AI
On-prem AI infrastructure vs colocation in a third-party datacenter — the trade-offs by org size and risk profile.
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Browse ArticlesReady to deploy your AI workload?
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