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 70B INT4 VRAM Requirements: Why 16 GB Isn’t Enough
Exact VRAM needs for Llama 3.1 70B at AWQ, GPTQ and GGUF Q4_K_M quantisation, why a 16 GB card cannot host it, and which 48+ GB GPUs can.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Fine-Tuning Wav2Vec2 on a Dedicated GPU
For domain-specific speech recognition (medical, legal, accents), fine-tuning Wav2Vec2 outperforms a generic Whisper in the narrow task.
Open Interpreter on a Dedicated GPU
Open Interpreter lets an LLM execute code on your machine to complete tasks. Pointed at a self-hosted model it becomes…
Ollama Behind Cloudflare Tunnel – Secure Remote Access
Cloudflare Tunnel exposes your local Ollama server on a public URL without opening ports. A clean, free, TLS-terminated setup.
GPU Memory Leak Detection in Inference Servers
VRAM growing over days of serving is almost always a leak. Detecting and locating it takes a specific set of…
GitHub Actions Self-Hosted GPU Runner
CI pipelines that test GPU code or fine-tune models need GPU access. Self-hosted runners on a dedicated server give you…
Backing Up LLM Model Weights Efficiently
Model weights are large, immutable, and often cached across servers. Here is a sensible backup strategy that avoids wasting NVMe…
AutoGen Self-Hosted LLM Agent
Microsoft's AutoGen orchestrates multi-agent workflows. Pointed at a self-hosted LLM it delivers production agent pipelines without per-token fees.
ROCm vs CUDA for Production AI in 2026: Honest Parity Check
A 2026 comparison of ROCm and CUDA for production AI: PyTorch parity, vLLM support, FlashAttention, Triton, price and breadth.
WireGuard VPN for a GPU Server
Self-hosted WireGuard gives you Tailscale-like private access without any SaaS dependency. The setup for those who want full control.
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