GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Connect AWS S3 to GPU for Models
Download AI models from AWS S3 to your GPU server for inference deployment. This guide covers configuring S3 access from your dedicated GPU, automating model downloads, caching strategies, and syncing…
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Connect WhatsApp Business to Self-Hosted AI
Connect WhatsApp Business API to your GPU-hosted LLM for AI-powered customer conversations. This guide covers webhook setup, message handling, conversation…
Connect Telegram Bot to Self-Hosted AI
Connect a Telegram bot to your GPU-hosted LLM for AI-powered conversations in Telegram. This guide covers bot creation, webhook setup,…
Connect Chrome Extension to Self-Hosted AI
Connect a Chrome extension to your GPU-hosted LLM for on-page AI assistance. This guide covers Manifest V3 service worker setup,…
Connect Zapier to Self-Hosted AI API on GPU
Route Zapier automations through your own GPU-hosted AI model instead of paying per-call API fees. This tutorial covers creating a…
Connect Android App to Self-Hosted AI
Stream AI responses from your GPU server into a native Android application using Kotlin. This guide covers OkHttp streaming, Kotlin…
Connect Google Sheets to Self-Hosted AI on GPU
Build a custom Google Sheets function that calls your GPU-hosted LLM for AI-powered text generation directly in cells. This guide…
vLLM API Returns 500 Error: Debug Guide
Debug and fix HTTP 500 errors from vLLM's OpenAI-compatible API. Covers input validation failures, CUDA errors mid-inference, tokenizer issues, and…
vLLM Model Loading Fails: Troubleshooting Guide
Fix vLLM model loading failures including unsupported architectures, missing files, weight format errors, and authentication issues when serving LLMs on…
vLLM Slow Throughput: Optimization Checklist
Diagnose and fix slow vLLM throughput. Covers KV cache sizing, batch configuration, quantization, tensor parallelism tuning, and benchmark verification for…
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