Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Complete cost breakdown for self-hosting AI at 10M tokens per month — GPU options, model recommendations, and comparison against API pricing for early-stage workloads.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Complete cost breakdown for self-hosting AI at 100M tokens per month — GPU configurations, multi-model deployments, and savings vs API…
Full self-hosted RAG stack on GPU vs OpenAI Assistants API — end-to-end cost comparison including embeddings, vector DB, and LLM…
Qwen 72B on dedicated GPU servers vs Anthropic Claude Opus API — full cost comparison at scale with break-even analysis,…
PaddleOCR on dedicated GPU vs Google Cloud Vision API — cost comparison for OCR workloads from 1,000 to 10M pages…
How many concurrent Whisper audio streams can each GPU handle in real time? Benchmarks for Whisper Large v3, Medium, and…
End-to-end voice agent latency benchmarks across six GPUs — measuring the full Whisper STT to LLM to TTS pipeline on…
Configure vLLM on the RTX 5090 for maximum throughput. 32GB GDDR7, 1792 GB/s bandwidth, and Blackwell tensor cores enable FP16…
How to configure vLLM on the RTX 5080 for maximum throughput. Covers Blackwell-specific optimisations, FP4 inference, GDDR7 tuning, and benchmark…
Step-by-step guide to deploying vLLM on an RTX 3090 dedicated server. Covers installation, configuration tuning, and throughput benchmarks for 7B-34B…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
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