GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Multi-Model Serving Cost on One GPU
Running multiple AI models on a single GPU can cut your hosting bill by 60-75%. Here's how to stack LLMs, embedding models, and vision models on one server.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Embedding Cost: Self-Hosted vs API
Embedding 10 million documents with OpenAI costs $1,300. Self-hosted BGE or E5 on a dedicated GPU costs under $15. Full…
OCR Cost per 10,000 Pages by GPU
Processing 10,000 pages through Google Document AI costs $150. Self-hosted GPU-accelerated OCR with Surya or PaddleOCR drops that to under…
Image Gen Cost per 1000 Images by GPU
Generating 1,000 images via DALL-E 3 costs $40-$80. Self-hosted SDXL or Flux on a dedicated GPU drops that to under…
Voice Agent Infrastructure Cost: Full Stack
Building a real-time voice AI agent requires STT, LLM, and TTS running in sequence. We break down the full-stack infrastructure…
RAG Pipeline Total Cost: Self-Hosted Breakdown
A production RAG pipeline involves more than just an LLM. We break down every cost layer — embedding, vector DB,…
Build vs Buy: AI Infrastructure Cost
Building on-premise GPU infrastructure costs $35,000-$120,000 upfront. Renting dedicated GPU servers starts at $180/month. We compare the full 3-year cost…
Cost to Fine-Tune an LLM by GPU and Method
Full fine-tuning a 70B model can cost over $2,400 on cloud GPUs. We compare fine-tuning costs across LoRA, QLoRA, and…
AI Cost Optimization Checklist
20 proven tactics to reduce AI inference costs by 30-80%. From quantisation to batching to model selection — the complete…
Annual vs Monthly GPU Contract: Savings
Annual GPU hosting contracts save 15-30% over monthly billing. But locking in for 12 months carries risk. Here's how to…
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