Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Build a semantic search engine using GPU-accelerated embeddings and Qdrant vector database that returns results by meaning rather than keywords.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Build an automated social media bot that generates post copy with an LLM and matching images with Stable Diffusion, scheduled…
Build a legal document processing pipeline that extracts clauses, parties, dates, and obligations from contracts and court documents using OCR…
Build a medical report processing pipeline that extracts structured clinical data from scanned reports using PaddleOCR and an LLM on…
Build an automated subtitle generation pipeline that transcribes video audio with Whisper and exports perfectly timed SRT files on a…
Run multiple AI models (LLM, vision, embedding, TTS) on a single GPU by managing VRAM allocation, model loading, and inference…
Build an AI copywriting system that generates on-brand marketing copy by fine-tuning and prompting an LLM with brand voice examples,…
An NHS trust processing hundreds of CT scans daily needs sub-two-minute turnaround per study. Dedicated GPU servers make real-time radiology…
Deploy GPU-accelerated document AI to process medical records, discharge summaries, and clinical notes at scale on dedicated GPU servers with…
A vintage jewellery marketplace lets customers upload a photo of a piece they admire and instantly find visually similar items…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
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