Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Yes, the RTX 5080 can run DeepSeek R1 distilled models comfortably with 16GB VRAM. Here is what fits and what performance to expect.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Yes, the RTX 3090 can run SDXL and a 7B LLM simultaneously with its 24GB VRAM. Here is how to…
The RTX 3090 can run CodeLlama 34B in INT4 quantisation with its 24GB VRAM. Here is the VRAM breakdown, coding…
No, the RTX 3090 cannot run Qwen 72B. Even in INT4, the model needs ~40GB. Here is what you need…
Yes, the RTX 3090 runs Whisper Large-v3 with ease and can handle concurrent streams or pair it with an LLM.…
Yes, the RTX 3090 runs LLaMA 3 8B in full FP16 precision with 24GB VRAM. Get maximum quality with generous…
Step-by-step guide to running DeepSeek models on the RTX 5090 with 32 GB GDDR7. Covers VRAM compatibility, vLLM setup, benchmark…
Guide to running LLaMA 3 on the RTX 5080 with 16 GB GDDR7 VRAM. Covers model compatibility, vLLM and Ollama…
Complete guide to running Flux.1 Dev and Schnell on an RTX 3090. Covers VRAM requirements, ComfyUI and diffusers setup, generation…
Step-by-step guide to running OpenAI Whisper and Faster-Whisper on an RTX 4060. Covers VRAM requirements, installation, transcription benchmarks, and API…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
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