GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Multi-Tenant RAG Isolation
RAG for SaaS with multiple tenants — isolating each tenant's vector data. Three patterns and the trade-offs.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Secrets Management for AI Deployments
API keys, model checkpoints, prompt templates as secrets — the management patterns that scale beyond .env.
Model Warm-up and Cold Start Patterns
Cold-start latency on LLM serving — what causes it, how to mitigate, when it matters.
RAG Eval Metrics Explained
The metrics that matter for RAG quality — recall@K, MRR, NDCG, faithfulness, answer relevance. The reference guide.
Structured Output vs Prompting
Two ways to get JSON / structured output from an LLM: prompt engineering vs constrained decoding. Constrained decoding wins.
vLLM Multi-LoRA Deployment
vLLM's native multi-LoRA support — serve many fine-tuned variants from one base model. The right deployment for SaaS multi-tenancy.
FP8 KV Cache: Quality Impact Measured
Real measurements of FP8 KV cache vs FP16 KV cache quality on production tasks. The trade-off is smaller than you'd…
vLLM PagedAttention Explained
PagedAttention is the algorithm that makes vLLM's KV cache management efficient. The intuition, the implementation, the impact.
1,000+ Posts: Final Takeaways
Past the 1,000-post milestone — the final consolidated takeaways for self-hosted AI in 2026 and forward.
AI Team Roles in 2026
Who do you actually need on a team running self-hosted production AI? The roles that matter and the ones that…
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