GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
KV Cache Explained: Why It Eats Your VRAM
Understanding how the KV cache works in LLM inference, why it consumes so much VRAM, and practical techniques to manage it on dedicated GPU servers.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Image Generation Latency by GPU (Time per Image)
Image generation latency benchmarks across six GPUs — p50, p90, and p99 time per image for Stable Diffusion XL, FLUX.1,…
How Many AI Chatbots Can One GPU Handle?
Practical capacity guide for GPU-powered AI chatbots — how many concurrent chatbot sessions each GPU supports with popular models, including…
Healthcare AI on Dedicated GPU Servers (GDPR Compliant)
Deploy GDPR-compliant healthcare AI on dedicated GPU servers. Covers medical NLP, clinical document processing, radiology AI, model recommendations, GPU sizing,…
GPU Utilisation Guide: Hit 90%+ Efficiency
A practical guide to achieving 90%+ GPU utilisation on dedicated servers for AI inference, covering monitoring tools, batch tuning, memory…
GPU Server Security for AI: Hardening Your Inference Stack
A practical guide to securing GPU servers running AI inference workloads, covering network hardening, API authentication, model security, and monitoring…
GPU Server for AI Research: Academic Deployment Guide
A guide for academic researchers deploying GPU servers for AI experimentation, covering hardware selection, framework setup, multi-user access, and budget…
GPU Capacity Planning for AI SaaS Products
Step-by-step GPU capacity planning for AI SaaS — sizing GPUs for chatbots, APIs, image generation, and voice agents based on…
GGUF vs GPTQ: Which Quantization for GPU Servers?
A head-to-head comparison of GGUF and GPTQ for dedicated GPU server deployments, covering speed, VRAM, quality, and ecosystem support for…
Gaming AI: NPC Intelligence on Dedicated GPU Servers
Deploy intelligent NPC AI on dedicated GPU servers. Covers conversational NPCs, dynamic behaviour, LLM integration with game engines, latency requirements,…
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