GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
LLaMA 3.1 Performance Report: April 2026
Detailed performance report for LLaMA 3.1 70B and 8B on dedicated GPU hardware. Covers throughput, latency, quantisation effects, and optimal deployment configurations as of April 2026.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Connect VS Code to Self-Hosted Code Model on GPU
Turn VS Code into an AI-powered coding environment by connecting it to a self-hosted code model on GPU. This guide…
Connect GitLab CI to Self-Hosted AI on GPU
Integrate AI code analysis into your GitLab CI/CD pipeline using a self-hosted LLM on GPU. This guide covers pipeline configuration,…
Connect GitHub Actions to Self-Hosted AI on GPU
Add AI-powered code review to your CI/CD pipeline by connecting GitHub Actions to a self-hosted LLM on GPU. This guide…
Connect Freshdesk to Self-Hosted AI on GPU
Automate Freshdesk ticket processing with a self-hosted LLM on GPU. This guide covers Freshdesk automation rules, webhook configuration, and a…
Connect Intercom to Self-Hosted AI on GPU
Add a private AI layer to Intercom using your own GPU server. This tutorial covers Intercom's webhook system, a middleware…
Connect Zendesk to Self-Hosted AI on GPU
Automate Zendesk support with AI running on your own GPU server. This guide covers the Zendesk API, webhook triggers, and…
Connect HubSpot to Self-Hosted AI on GPU
Enrich your HubSpot CRM with AI powered by your own GPU server. This guide covers the HubSpot API, custom workflow…
Connect Shopify to Self-Hosted AI on GPU
Power your Shopify store with AI from your own GPU server. This tutorial covers building a custom Shopify app that…
Connect WordPress to Self-Hosted AI on GPU
Add AI content generation to your WordPress site using a self-hosted LLM on GPU. This guide covers building a custom…
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