Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Real concurrent-user numbers for an RTX 3090 hosting Mistral 7B, Llama 3.1 8B, and Qwen 2.5 14B INT4. With latency degradation curves.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
The RTX 3090 is half the price of the RTX 5090. The RTX 5090 is roughly 1.6 to 2x faster.…
Qwen 2.5 VL is the strongest open-weight vision-language model that fits 16 GB. Here is how it performs on a…
How many fine-tuning tokens-per-second can a single RTX 5060 Ti 16 GB process? Real numbers across QLoRA, LoRA, and full…
A retrospective look at where self-hosted open-weight AI infrastructure landed in 2026 — what works, what's still hard, what's coming.
Both configurations cost roughly the same and serve 70B-class models. One is simpler to operate; the other is faster on…
Both are credible AI hosting cards but at very different price points. Here is the workload-by-workload decision framework — when…
The RTX 6000 Pro 96 GB is the natural upgrade target from the 4090 24 GB. 4× the VRAM, ECC,…
Lambda Labs is one of the strongest GPU clouds for ML workloads. Here is how a GigaGPU dedicated RTX 4090…
RunPod offers RTX 4090 by the second. GigaGPU offers it by the month. Which is cheaper for your specific workload?…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
AI Hosting & Infrastructure
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