GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Mistral Small 3 Self-Hosted Deployment
Mistral's 24B Small 3 refresh lands between the 7B and 70B class with genuinely strong benchmarks and fits a single 24-32GB card.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Mistral Nemo 12B on a Dedicated GPU
Mistral Nemo 12B offers 128k context on a single mid-tier card - the practical long-context model for dedicated GPU hosting.
LoRA Fine-Tuning Mistral 7B on a Dedicated GPU
LoRA at FP16 works comfortably on a 24GB GPU for Mistral 7B - the fastest practical path to a fine-tuned…
llama.cpp Server Thread Tuning for Dedicated GPUs
llama.cpp exposes five thread-related knobs that interact in non-obvious ways. Getting them right doubles throughput on some dedicated configurations.
llama.cpp n-gpu-layers Tuning for Mixed Inference
-ngl controls how many transformer layers live on the GPU. Picking the right number balances speed against VRAM - with…
Llama 3.3 70B on RTX 6000 Pro
The 70B refresh from Meta runs at FP8 on a single 96GB card with serious concurrency headroom - the flagship…
Llama 3.2 Vision 11B on a Dedicated GPU
Meta's 11B vision-language model is the practical open-weights VLM for dedicated GPU hosting - here is what it takes to…
InternLM 2.5 20B Deployment
Shanghai AI Lab's InternLM 2.5 20B is an under-discussed reasoning model that fits comfortably on a 24GB GPU at INT8.
Idefics3 Vision Model Self-Hosted
Hugging Face's Idefics3 is an 8B vision-language model trained for document understanding and multi-image reasoning.
Hermes 3 Llama Self-Hosted
Nous Research's Hermes 3 fine-tunes of Llama 3 offer stronger agent and role-play behaviour than stock Llama. Hosting is identical…
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