GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Self-Hosted Vision-Language Model Comparison: Qwen-VL, Llama 3.2 Vision, Pixtral
Three leading open-weight VLMs compared on document Q&A, image understanding, and OCR — with hardware sizing for each.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Self-Hosted TTS Streaming Architecture: Sub-100ms First Audio
How to architect a TTS streaming pipeline that delivers first audio in under 100ms — chunk generation, WebSocket streaming, and…
RTX 5090 32 GB Spec Breakdown for AI Workloads
The full RTX 5090 spec sheet for AI buyers — what each number means, where the architecture wins, and what…
AI Workload Power Consumption: What Each GPU Actually Draws Under Real Load
GPU TDP is the rated maximum. Real AI workloads draw close to TDP continuously. Numbers, energy cost per million tokens,…
Self-Hosted Cohere Aya Expanse Deployment Guide
Aya Expanse is Cohere's open-weight multilingual LLM (100+ languages). Self-hosting recipe, hardware sizing, and the licensing constraint.
Fine-Tuning on the RTX 4090 24 GB: QLoRA, LoRA, and Full SFT
Fine-tuning recipes for the 24 GB Ada card — QLoRA on 7B-13B, LoRA on 7B FP16, no full SFT. With…
RTX 4090 Software FP8 vs RTX 5090 Hardware FP8: Real Difference
vLLM can software-emulate FP8 on the RTX 4090. The performance is much worse than Blackwell native FP8. Here are the…
Llama 3 70B INT4 on the RTX 4090 24 GB: Does It Fit?
Llama 3.3 70B at AWQ-INT4 needs ~40 GB. RTX 4090 has 24 GB. The honest answer about whether INT3 makes…
RTX 4090 vs RTX 3090 for LLM Hosting: Cost-per-Token Compared
Both have 24 GB VRAM. RTX 4090 is ~30% faster at ~55% more cost. Which one wins on cost-per-token? Workload-by-workload…
Self-Hosted BGE Reranker Deployment Guide
BGE-reranker is the leading open-weight reranker for RAG quality. Here is the deployment recipe — TEI, throughput, and where it…
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