Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Step-by-step guide to fine-tuning LLaMA 3 8B with LoRA and QLoRA, including VRAM requirements, GPU recommendations, training time estimates, and cost analysis.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
GPU and VRAM requirements for fine-tuning DeepSeek models, covering LoRA and QLoRA approaches for the distilled 7B/8B variants with setup…
ROI framework and payback period analysis for enterprise self-hosted AI — covering multi-department deployments, TCO calculations, and decision-making criteria.
Embedding throughput benchmarks for BGE, E5, and sentence-transformers across six GPUs — requests per second at batch sizes 1 to…
Deploy self-hosted LLMs for education and EdTech on dedicated GPU servers. Covers AI tutoring, content generation, assessment, student data privacy,…
Build GPU-powered product search and recommendation engines for e-commerce. Covers semantic search, personalised recommendations, image similarity, model selection, and GPU…
Guide to choosing the best quantisation format for DeepSeek V3 and R1 across different GPU configurations, comparing FP8, INT4, GPTQ,…
VRAM requirements for DeepSeek V3 and R1 at different context lengths, covering the MoE architecture's unique KV cache behaviour and…
DeepSeek R1 Distill 7B throughput scaling from 1 to 64 concurrent requests — requests/sec and latency across four GPUs with…
Build self-hosted customer support AI on dedicated GPU servers. Covers RAG-powered chatbots, ticket classification, response generation, model selection, and cost…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
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