GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Best GPU for Stable Diffusion (Images/sec Benchmarks)
Comprehensive images/sec benchmarks for Stable Diffusion across 7 GPUs. Compare SD 1.5, SDXL, and Flux performance to find the fastest and most cost-efficient GPU for AI image generation.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Best GPU for Whisper (Latency + Real-Time Factor)
Benchmark results for OpenAI Whisper across 7 GPUs. Compare real-time factor, latency, and cost efficiency to find the best GPU…
RTX 4060 vs 3090 for AI Workloads (Is Cheaper Actually Better?)
We benchmark the RTX 4060 against the RTX 3090 across LLM inference, Stable Diffusion, and Whisper. Find out whether the…
RTX 5090 vs RTX 3090: Is 32GB Worth the Upgrade?
The RTX 5090 brings 32 GB GDDR7 and Blackwell architecture. The RTX 3090 costs a fraction of the price. We…
RTX 3090 vs RTX 4090 for LLM Inference (Tokens/sec + Cost)
Head-to-head benchmark comparison of the RTX 3090 and RTX 4090 for LLM inference. See tokens/sec, cost-per-token, and which GPU delivers…
How to Run Stable Diffusion XL on a Dedicated Server
Deploy Stable Diffusion XL on a dedicated GPU server for high-quality image generation at scale. Covers hardware requirements, ComfyUI and…
How to Host a Private AI Chatbot on Your Own GPU Server
Build and deploy a private AI chatbot on dedicated GPU hardware. Covers LLM selection, Open WebUI setup, RAG integration, and…
How to Set Up Ollama on a Dedicated GPU Server
A complete tutorial for installing and configuring Ollama on a dedicated GPU server. Covers installation, model management, API configuration, multi-model…
How to Deploy Whisper for Real-Time Transcription on a GPU Server
Step-by-step guide to deploying OpenAI Whisper on a dedicated GPU server for real-time transcription. Covers model selection, Faster Whisper setup,…
How to Build a Production AI Inference Server (Step-by-Step)
A complete tutorial for building a production-ready AI inference server on dedicated GPU hardware. Covers framework selection, deployment, API design,…
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