Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Exact cost per 1M tokens for every LLaMA 3 variant across every GPU option. Find the cheapest way to run LLaMA 3 on dedicated hardware.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
The definitive guide to self-hosted AI vs API costs in 2025. Every major provider compared with break-even analysis, TCO calculations,…
GPT-4o API costs pile up fast at scale. We break down the exact numbers showing when self-hosting an open-source LLM…
The complete cost breakdown for running a 70B parameter LLM. GPU requirements, hosting costs, and cost-per-token analysis across every hardware…
Groq is fast but expensive at scale. We compare Groq API costs and speed against self-hosted vLLM on dedicated GPU…
Can the RTX 3090 run Flux.1? Yes — Dev and Schnell both fit on 24 GB in FP16. Full VRAM…
Can the RTX 4060 run Mistral 7B? Yes — even in FP16 with short context. Full benchmarks, VRAM analysis, and…
Can the RTX 5080 run LLaMA 3 70B? Only with aggressive quantization on its 16 GB VRAM. We cover what…
Can the RTX 3090 run DeepSeek V3? Not the full 671B MoE model. We analyze VRAM needs, what actually fits…
Can the RTX 3050 run Whisper Large? Yes — with a real-time factor around 0.15-0.20x, it transcribes faster than real-time.…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
AI Hosting & Infrastructure
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