Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Qwen 2.5 32B fits on a single 80 GB datacenter card or a 96 GB workstation card at FP16, but the practical home for it is FP8 on a 6000…
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
How much VRAM does SDXL actually need? Numbers for FP16, FP8, INT8, with and without ControlNets, LoRAs and refiners. Plus…
Real tokens-per-second, time-to-first-token and cost-per-million-tokens numbers for Mistral 7B Instruct and Mistral Small 22B on every GPU in the GigaGPU…
A practical, opinionated playbook for building a production-grade AI inference server — from picking the GPU to wiring up auth,…
Should you run your AI workload on serverless GPUs (Modal, Replicate, RunPod serverless) or rent a dedicated GPU server? Real…
Exactly how much GPU memory each Code Llama variant needs at FP16, FP8 and AWQ-INT4 — plus KV cache for…
DeepSeek-V2 16B and DeepSeek-V3 671B running on your own hardware versus calling the official DeepSeek API. Cost, latency, data control…
Total cost of ownership for a self-hosted AI coding assistant — model, GPU, IDE backend, embeddings, retrieval. Compared to Cursor,…
Real cost-per-million-tokens numbers for self-hosting Llama 3.1 8B and Llama 3.3 70B on every GPU in our catalogue, including the…
Exactly how much you pay per million Mistral 7B tokens on each GPU we host, at FP16 and FP8. Compared…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
AI Hosting & Infrastructure
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