GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Monitoring an AI Inference Server: Prometheus, Grafana, and the Metrics That Matter
Production AI inference needs the same observability discipline as any other backend. Here are the metrics that actually predict outages, with Grafana dashboard recipes.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
vLLM vs TGI vs Ollama: A Benchmark Comparison for Production Inference
vLLM, Hugging Face TGI, and Ollama are the three most-deployed open inference engines. Here is the head-to-head on throughput, latency,…
Self-Hosted RAG Architecture: A Reference Implementation on Dedicated GPUs
End-to-end reference architecture for a production RAG stack on dedicated GPU hardware — vector store, embeddings, reranker, LLM, and the…
vLLM Prefix Caching: How It Works and Why It’s Free Throughput
Prefix caching is the single highest-leverage tuning flag in vLLM. Here is how it works, when it helps, and the…
RTX 5060 Ti 16 GB Dedicated vs Lambda Labs: Cost and Capability Comparison
Lambda Labs offers RTX 5060 Ti class hardware on demand. GigaGPU offers it dedicated by the month. Which one wins…
Reranker Throughput on the RTX 5060 Ti 16 GB: BGE-Reranker, ColBERT, Cross-Encoders
BGE-reranker, ColBERT and cross-encoder rerankers are critical for RAG quality. Here is the throughput each can sustain on a single…
RTX 5060 Ti 16 GB for Webinar Transcription: Setup, Throughput, Cost
How well does a single RTX 5060 Ti 16 GB transcribe long webinars and conference talks? A practical sizing guide…
LoRA Fine-Tuning on the RTX 5060 Ti 16 GB: Practical Walkthrough
LoRA fine-tuning on a single 5060 Ti — without QLoRA tricks. When LoRA beats QLoRA, what hyperparameters to use, and…
Best GPU for Stable Diffusion XL Hosting in 2026
SDXL is forgiving on hardware but the right GPU still matters for throughput, ControlNets, and LoRA-stacked workflows. Here is the…
FLUX.1 Images per Second by GPU: Real Benchmarks Across Every Card We Host
Real images-per-minute throughput for FLUX.1 dev and schnell on every GPU we rent — FP16, FP8 and GGUF quantisation paths.
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