GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Gemma 2 9B Benchmark on the RTX 5060 Ti 16 GB
Gemma 2 9B at FP16 is 18 GB — too big for a 16 GB card. At FP8 it fits comfortably. Real benchmarks for the FP8 deployment.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Upgrading from RTX 5060 Ti 16 GB to RTX 6000 Pro 96 GB
The 6000 Pro is 6× the VRAM and 6.5× the price of the 5060 Ti. When does that upgrade pay…
RTX 5060 Ti 16 GB for Self-Hosted Translation: Models and Throughput
Translation workloads on a 5060 Ti — NLLB, M2M-100, Aya, and large multilingual LLMs. Throughput numbers and which model fits…
Prefix Caching on the RTX 5060 Ti 16 GB: 50% Free Throughput
vLLM's prefix caching is the single biggest free throughput win on small GPUs. Here is what it buys on a…
Self-Hosted AI Incident Postmortem Template
A practical postmortem template for AI inference incidents — root cause categories, action items, and what to track between incidents.
On-Call Runbook for an AI Inference Server: The 12 Most Common Incidents
What goes wrong on a production AI inference server, in priority order, and how to triage each one. The runbook…
AI Server Power and Cooling: What Actually Matters for 24/7 GPU Workloads
GPU servers under sustained AI load draw 400-600+ watts continuously. Power and cooling are unglamorous but they decide whether your…
Open-Source LLM Hosting Architecture Overview: 2026 State of the Art
An architectural overview of self-hosted open-source LLM serving in 2026 — engines, hardware, software layers, observability, and the patterns that…
SFT vs DPO vs ORPO: Fine-Tuning Methods Compared in 2026
Three popular fine-tuning paradigms — supervised fine-tuning, direct preference optimisation, odds ratio preference optimisation. When each one wins.
Self-Hosted Stable Diffusion 3.5 Large Deployment Guide
SD 3.5 Large is Stability AI's strongest open image model. Here is the ComfyUI deployment recipe on dedicated GPU hardware,…
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