Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Hugging Face TRL's SFTTrainer is the vanilla fine-tuning API that every framework wraps. Using it directly gives you full control.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
TGI supports half a dozen quantization formats with different flags, precision, and supported architectures - a cheat sheet for each…
oobabooga's text-generation-webui is often dismissed as a toy. Configured properly it is a legitimate production API on a dedicated GPU.
BigCode's StarCoder 2 15B is a permissively-licensed coding model that fits a 16GB card and handles 600+ languages.
Upstage's Solar 10.7B uses depth up-scaling to get 13B-class performance in a smaller footprint - fits a 16GB card at…
Four timeout layers sit between your client and the GPU. Getting any one wrong causes mysterious cancellations. Here is the…
Qwen VL 2 comes in 2B, 7B, and 72B variants - from tiny edge models to heavy VLMs. Here is…
Qwen Coder 32B is the strongest open-weights coding model in 2026. Here is how to host it on a dedicated…
Qwen 2.5 14B is the sweet spot for a 16GB Blackwell card - strong reasoning, fits at INT8, and hits…
QLoRA lets you fine-tune a 70B model on a single 32GB GPU. Here is the actual configuration and what to…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
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