Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
A head-to-head benchmark of two of NVIDIA's most popular GPUs for AI inference, training, and creative workloads on dedicated GPU servers.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
LLaMA 3, DeepSeek V3, Mistral, Qwen 2.5, and Phi-4 have reshaped open source AI. We compare performance, VRAM requirements, and…
NVIDIA's Blackwell architecture arrives in consumer GPUs. We break down what the RTX 5080 and RTX 5090 bring to AI…
Production-ready vLLM setup guide — install, configure as a systemd service, tune memory and batching, add monitoring, and set up…
Step-by-step guide to installing PyTorch with GPU support on a dedicated server — covering NVIDIA drivers, CUDA toolkit, cuDNN, conda…
A practical guide to GPU server networking for AI workloads — covering bandwidth requirements, latency optimisation, API endpoint architecture, and…
A practical guide to building private AI infrastructure with dedicated GPU servers — covering data sovereignty, hardware selection, security, networking,…
A full architecture guide for building a real-time voice agent on dedicated GPU hardware — covering the Whisper STT, LLM…
A complete architecture guide for building a production AI chatbot on dedicated GPU hardware — covering model selection, RAG pipelines,…
Break-even analysis for GPU hosting vs API pricing. We calculate exactly when dedicated GPU servers beat OpenAI, Anthropic, and Together.ai…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
AI Hosting & Infrastructure
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