Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Two parallel environments, one live, one staging. Promoting from green to blue gives instant rollback and a full test window before cutover.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
DeepSeek-R1-Distill-Qwen-7B and Distill-Llama-8B on the RTX 5060 Ti 16GB - reasoning-tuned inference with FP8 and AWQ, benchmarked against base Llama…
VS Code Remote-SSH gives you a native editor experience while code and GPU execute on a dedicated server. The setup…
Chunking decides retrieval quality more than the embedder does. Practical strategies that outperform the naive 512-token split.
Cloud GPU pricing pages list one number. The actual bill includes egress, storage, monitoring, and opportunity cost. Here is the…
Liveness and readiness probes for a self-hosted LLM API - what each should check and how to configure them for…
browser-use gives an LLM a Chrome browser to navigate. Self-hosted on a GPU server it becomes a complete web automation…
BSI has published AI management standards - BS ISO/IEC 42001 and related. Dedicated UK hosting makes these easier to operationalise…
Run vision-language models - Llama 3.2 Vision 11B, Qwen 2.5-VL 7B and LLaVA - on a single Blackwell RTX 5060…
Retrieval-based Voice Conversion trains a voice model from ~15 minutes of audio and converts any speech to that voice. Self-hosted…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
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