GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Prompt Injection Defense for Self-Hosted AI Deployments
Prompt injection is the most common AI security issue. Here are the defenses that actually work — and the ones that don't.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
ComfyUI Production Deployment: Best Practices and Pitfalls
ComfyUI is the workflow runner for production image generation. Here is how to deploy it for a real product, not…
Small LLM Fine-Tuning ROI: When Custom Models Pay Back
Fine-tuning a 7B model takes a day and a £359/mo GPU. Does the custom model justify the effort vs prompting…
Customer Data Flow in Self-Hosted AI: Where Prompts Actually Go
A precise walk-through of where customer prompts travel in a self-hosted AI deployment — and where they don't.
NVIDIA Tensor Cores Explained: 3rd, 4th, 5th Generation
What tensor cores actually do, how they evolved across Ampere / Ada / Blackwell, and why FP8 / FP4 hardware…
RAG Chunking Strategies: Token Window, Semantic, Hierarchical
How to split documents into chunks for RAG — token-window, semantic, sentence-level, and hierarchical strategies. The trade-offs each makes.
Dedicated GPU vs Cloud GPU: Pros and Cons for AI Workloads
Bare-metal dedicated GPU vs hyperscaler cloud GPU instances — concrete pros and cons across cost, latency, ops, and capability.
AI Deployment Scaling Roadmap: From MVP to Production to Enterprise
How a self-hosted AI deployment evolves from MVP through production to enterprise scale. Hardware, architecture, and operational milestones at each…
What Does It Cost to Operate a Self-Hosted AI Server?
The hidden operational costs of self-hosted AI — driver updates, monitoring tooling, on-call time. Real numbers from running production deployments.
AI Inference: Batch Throughput vs Latency Trade-Off Explained
Continuous batching trades latency for throughput. The right point on that curve depends on your workload. Here is how to…
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